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ORCID30th EUSIPCO 2022: Belgrade, Serbia
- 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, August 29 - Sept. 2, 2022. IEEE 2022, ISBN 978-90-827970-9-1
- Duygu Dogan, Huang Xie, Toni Heittola, Tuomas Virtanen:
Zero-Shot Audio Classification using Image Embeddings. 1-5 - Meng-Han Lin, Jeng-Lin Li, Chi-Chun Lee:
Improving Multimodal Movie Scene Segmentation Using Mixture of Acoustic Experts. 6-10 - Ellen H. J. Riemens, Pablo Martínez-Nuevo, Jorge Martínez, Martin Bo Møller, Richard C. Hendriks:
On the Integration of Acoustics and LiDAR: a Multi-Modal Approach to Acoustic Reflector Estimation. 11-15 - Shreya G. Upadhyay, Bo-Hao Su, Chi-Chun Lee:
Improving Induced Valence Recognition by Integrating Acoustic Sound Semantics in Movies. 16-20 - Quoc-Huy Nguyen, Masashi Unoki:
Bone-conducted Speech Enhancement Using Vector-quantized Variational Autoencoder and Gammachirp Filterbank Cepstral Coefficients. 21-25 - Mathieu Fontaine, Diego Di Carlo, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, Kazuyoshi Yoshii:
Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization. 26-30 - Natsuki Ueno, Hirokazu Kameoka:
Multiple Sound Source Localization Based on Stochastic Modeling of Spatial Gradient Spectra. 31-35 - Guillermo García-Barrios, Daniel Aleksander Krause, Archontis Politis, Annamaria Mesaros, Juana M. Gutiérrez-Arriola, Rubén Fraile:
Binaural source localization using deep learning and head rotation information. 36-40 - Julian Wechsler, Wolfgang Mack, Emanuël A. P. Habets:
End-to-End Signal-Aware Direction-of-Arrival Estimation Using Weighted Steered-Response Power. 41-45 - Ofer Schwartz:
Memory-Reduced DOA Estimators While Using Cyclic-Symmetrical Array. 46-49 - Ariel Frank, Assaf Ben-Kish, Israel Cohen:
Constant-Beamwidth Linearly Constrained Minimum Variance Beamformer. 50-54 - Emilie D'Olne, Vincent W. Neo, Patrick A. Naylor:
Speech Enhancement in Distributed Microphone Arrays Using Polynomial Eigenvalue Decomposition. 55-59 - Amos Schreibman, Elior Hadad, Anna Barnov, Eli Tzirkel-Hancock:
Dual MVDR Architecture for Adaptive Cancellation of Dynamic Interference. 60-64 - Rintaro Ikeshita, Tomohiro Nakatani:
ISS2: An Extension of Iterative Source Steering Algorithm for Majorization-Minimization-Based Independent Vector Analysis. 65-69 - Stefan Thaleiser, Gerald Enzner:
Binaural Wind-Noise Tracking with Steering Preset. 70-74 - Srikanth Burra, Asutosh Kar, Mads Græsbøll Christensen:
An Improved Functional Link Architecture for Nonlinear AEC. 75-79 - William Ravenscroft, Stefan Goetze, Thomas Hain:
Receptive Field Analysis of Temporal Convolutional Networks for Monaural Speech Dereverberation. 80-84 - Fran Pastor-Naranjo, Rocío del Amor, Julio Silva-Rodríguez, Miguel Ferrer, Gema Piñero, Valery Naranjo:
Conditional Generative Adversarial Networks for Acoustic Echo Cancellation. 85-89 - Tobias Kabzinski, Peter Jax:
A Unified Perspective on Time-Domain and Frequency-Domain Kalman Filters for Acoustic System Identification. 90-94 - Henri Gode, Simon Doclo:
Adaptive Dereverberation, Noise and Interferer Reduction Using Sparse Weighted Linearly Constrained Minimum Power Beamforming. 95-99 - Priyanka Gupta, Piyushkumar K. Chodingala, Hemant A. Patil:
Morlet Wavelet-Based Voice Liveness Detection using Convolutional Neural Network. 100-104 - Berkay Köprü, Engin Erzin:
Affective Burst Detection from Speech using Kernel-fusion Dilated Convolutional Neural Networks. 105-109 - Ankur T. Patil, Kuldeep Khoria, Hemant A. Patil:
Voice Liveness Detection using Constant-Q Transform-Based Features. 110-114 - Wei-Cheng Lin, Dimitra Emmanouilidou:
Toxic Speech and Speech Emotions: Investigations of Audio-based Modeling and Intercorrelations. 115-119 - Linh Vu, Raphaël C.-W. Phan, Lim Wern Han, Dinh Phung:
Improved speech emotion recognition based on music-related audio features. 120-124 - Sangeeta Srivastava, Ho-Hsiang Wu, João Rulff, Magdalena Fuentes, Mark Cartwright, Cláudio T. Silva, Anish Arora, Juan Pablo Bello
:
A Study on Robustness to Perturbations for Representations of Environmental Sound. 125-129 - Ge Li, Dushyant Sharma, Patrick A. Naylor:
Non-Intrusive Signal Analysis for Room Adaptation of ASR Models. 130-134 - Erez Shalev, Israel Cohen:
Multiroom Speech Emotion Recognition. 135-139 - Ville-Veikko Eklund, Aleksandr Diment, Tuomas Virtanen:
Noise, Device and Room Robustness Methods for Pronunciation Error Detection. 140-144 - Aditya Raikar, Meet H. Soni, Ashish Panda, Sunil Kumar Kopparapu:
Acoustic Model Adaptation In Reverberant Conditions Using Multi-task Learned Embeddings. 145-149 - Shrishail Baligar, Shawn D. Newsam:
CoSSD - An end-to-end framework for multi-instance source separation and detection. 150-154 - Zicheng Feng, Yu Tsao, Fei Chen:
Recurrent Neural Network-based Estimation and Correction of Relative Transfer Function for Preserving Spatial Cues in Speech Separation. 155-159 - Jouni Paulus, Matteo Torcoli:
Sampling Frequency Independent Dialogue Separation. 160-164 - George Close, Thomas Hain, Stefan Goetze:
MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data. 165-169 - Runze Wang, Iman Moazzen, Wei-Ping Zhu:
A Computation-Efficient Neural Network for VAD using Multi-Channel Feature. 170-174 - Christos Garoufis, Athanasia Zlatintsi, Panayiotis Paraskevas Filntisis, Niki Efthymiou, Emmanouil Kalisperakis, Thomas Karantinos, Vasiliki Garyfalli, Marina Lazaridi, Nikolaos Smyrnis, Petros Maragos:
Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders. 175-179 - Ajinkya Kulkarni, Vincent Colotte, Denis Jouvet:
Multi-stage attention for fine-grained expressivity transfer in multispeaker text-to-speech system. 180-184 - Madhurananda Pahar, Marisa Klopper, Byron Reeve, Rob Warren, Grant Theron, Andreas H. Diacon, Thomas Niesler:
Wake-Cough: cough spotting and cougher identification for personalised long-term cough monitoring. 185-189 - Shakeel A. Sheikh, Md. Sahidullah, Fabrice Hirsch, Slim Ouni:
Robust Stuttering Detection via Multi-task and Adversarial Learning. 190-194 - Changhong Wang, Emmanouil Benetos, Shuge Wang, Elisabetta Versace:
Joint Scattering for Automatic Chick Call Recognition. 195-199 - Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino:
Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model. 200-204 - Jan Schlüter, Gerald Gutenbrunner:
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use. 205-208 - Nara Hahn, Frank Schultz, Sascha Spors:
Band Limited Impulse Invariance Method. 209-213 - Valeria Bruschi, Stefano Nobili, Alessandro Terenzi, Stefania Cecchi:
Using Interpolated FIR Technique for Digital Crossover Filters Design. 214-218 - Ruchi Pandey, Santosh Nannuru, Peter Gerstoft:
Experimental Validation of Wideband SBL Models for DOA Estimation. 219-223 - Tian Cheng, Masataka Goto:
An Analysis of Using Fuzzy Annotations in CRNN-Based Joint Beat and Downbeat Tracking. 224-228 - Sehun Kim, Tomoki Hayashi, Tomoki Toda:
Note-level Automatic Guitar Transcription Using Attention Mechanism. 229-233 - Antoine Lavault, Axel Roebel, Matthieu Voiry:
StyleWaveGAN: Style-based synthesis of drum sounds using generative adversarial networks for higher audio quality. 234-238 - Yudong Zhao, György Fazekas, Mark Sandler:
Transfer Learning for Violinist Identification. 239-243 - Jeff Miller, Ken O'Hanlon, Mark B. Sandler:
Improving Balance in Automatic Chord Recognition with Random Forests. 244-248 - Panagiotis Papantonakis, Christos Garoufis, Petros Maragos:
Multi-band Masking for Waveform-based Singing Voice Separation. 249-253 - Yigitcan Özer, Jonathan Hansen, Tim Zunner, Meinard Müller:
Investigating Nonnegative Autoencoders for Efficient Audio Decomposition. 254-258 - Zhaoyi Liu, Haoyu Tang, Sam Michiels, Wouter Joosen, Danny Hughes:
Unsupervised Acoustic Anomaly Detection Systems Based on Gaussian Mixture Density Neural Network. 259-263 - Nikolaos Stefanakis, Konstantinos Psaroulakis, Nikonas Simou, Christos Astaras:
An Open-Access System for Long-Range Chainsaw Sound Detection. 264-268 - Tomoya Nishida, Kota Dohi, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Anomalous Sound Detection Based on Machine Activity Detection. 269-273 - Harsh Purohit, Takashi Endo, Masaaki Yamamoto, Yohei Kawaguchi:
Hierarchical Conditional Variational Autoencoder Based Acoustic Anomaly Detection. 274-278 - Kota Dohi, Takashi Endo, Yohei Kawaguchi:
Disentangling physical parameters for anomalous sound detection under domain shifts. 279-283 - Stavros Ntalampiras:
Adversarial Attacks Against Audio Surveillance Systems. 284-288 - Jens Heitkaemper, Joerg Schmalenstroeer, Reinhold Haeb-Umbach:
Neural Network Based Carrier Frequency Offset Estimation From Speech Transmitted Over High Frequency Channels. 289-293 - Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda:
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure. 294-298 - Jouni Paulus, Matteo Torcoli:
Geometrically-Motivated Primary-Ambient Decomposition With Center-Channel Extraction. 299-303 - Gerald Enzner, Christoph Urbanietz, Rainer Martin:
Optimized Learning of Spatial-Fourier Representations from Fast HRIR Recordings. 304-308 - Amy Bastine, Lachlan Birnie, Thushara D. Abhayapala, Prasanga N. Samarasinghe, Vladimir Tourbabin:
Ambisonics Capture using Microphones on Head-worn Device of Arbitrary Geometry. 309-313 - Leo McCormack, Archontis Politis:
Estimating and Reproducing Ambience in Ambisonic Recordings. 314-318 - Xiaoli Tang, Jihui Zhang, David Lou Alon, Zamir Ben-Hur, Prasanga N. Samarasinghe, Thushara D. Abhayapala:
Wave Domain Sound Field Interpolation Using Two Spherical Microphone Arrays. 319-323 - Daniel T. Jones, Dushyant Sharma, Stanislav Yu. Kruchinin, Patrick A. Naylor:
Microphone Array Coding Preserving Spatial Information for Cloud-based Multichannel Speech Recognition. 324-328 - Yonggang Hu, Sharon Gannot:
Comparison of Learning-Based DOA Estimation Between SH Domain Features. 329-333 - Shoken Kaneko, Hannes Gamper:
Towards all-purpose full-sphere binaural localization. 334-338 - Raimundo Gonzalez, Christoph Hold, Tapio Lokki, Archontis Politis:
Sector-Based Encoding and Data Compression of Virtual Acoustic Scattering. 339-343 - Shuming Luan, Yukoh Wakabayashi, Tomoki Toda:
Modified Sound Field Interpolation Method for Rotation-robust Beamforming with Unequally Spaced Circular Microphone Array. 344-348 - Priyanka Gupta, Hemant A. Patil:
Linear Frequency Residual Cepstral Features for Replay Spoof Detection on ASVSpoof 2019. 349-353 - Ahmad Aloradi, Wolfgang Mack, Mohamed Elminshawi, Emanuël A. P. Habets:
Speaker Verification in Multi-Speaker Environments Using Temporal Feature Fusion. 354-358 - Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A deep representation learning speech enhancement method using β-VAE. 359-363 - Mohammad MohammadAmini, Driss Matrouf, Jean-François Bonatsre, Sandipana Dowerah, Romain Serizel, Denis Jouvet:
A Comprehensive Exploration of Noise Robustness and Noise Compensation in ResNet and TDNN-based Speaker Recognition Systems. 364-368 - Priyanka Gupta, Piyushkumar K. Chodingala, Hemant A. Patil:
Energy Separation Based Instantaneous Frequency Estimation from Quadrature and In-Phase Components for Replay Spoof Detection. 369-373 - Hemant A. Patil, Rajul Acharya, Ankur T. Patil, Priyanka Gupta:
Non-Cepstral Uncertainty Vector for Replay Spoofed Speech Detection. 374-378 - Kai Li, Xugang Lu, Masato Akagi, Jianwu Dang, Sheng Li, Masashi Unoki:
Relationship Between Speakers' Physiological Structure and Acoustic Speech Signals: Data-Driven Study Based on Frequency-Wise Attentional Neural Network. 379-383 - Abraham Woubie, Tom Bäckström:
Voice Quality Features for Replay Attack Detection. 384-388 - Frederik Bous, Laurent Benaroya, Nicolas Obin, Axel Roebel:
Voice Reenactment with F0 and timing constraints and adversarial learning of conversions. 389-393 - Akansha Tyagi, Padmanabhan Rajan:
Location-invariant representations for acoustic scene classification. 394-398 - Daniel Aleksander Krause, Annamaria Mesaros:
Binaural Signal Representations for Joint Sound Event Detection and Acoustic Scene Classification. 399-403 - Siyuan Song, Brecht Desplanques, Kris Demuynck, Nilesh Madhu:
SoftVAD in iVector-Based Acoustic Scene Classification for Robustness to Foreground Speech. 404-408 - Paul Primus, Gerhard Widmer:
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers. 410-413 - Carlo Aironi, Samuele Cornell, Emanuele Principi, Stefano Squartini:
Graph Node Embeddings for ontology-aware Sound Event Classification: an evaluation study. 414-418 - Yun-Ning Hung, Alexander Lerch:
Feature-informed Embedding Space Regularization For Audio Classification. 419-423 - Jagmohan Chauhan, Young D. Kwon, Cecilia Mascolo:
Exploring On-Device Learning Using Few Shots for Audio Classification. 424-428 - Shubhr Singh, Huy Phan, Emmanouil Benetos:
Hypernetworks for Sound event Detection: a Proof-of-Concept. 429-433 - Anna Ollerenshaw, Md Asif Jalal, Thomas Hain:
Insights of Neural Representations in Multi-Banded and Multi-Channel Convolutional Transformers for End-to-End ASR. 434-438 - Leila Ben Letaifa, Jean-Luc Rouas:
Transformer Model Compression for End-to-End Speech Recognition on Mobile Devices. 439-443 - Dhanya Eledath, Narasimha Rao Thurlapati, V. Pavithra, Tirthankar Banerjee, V. Ramasubramanian:
Few-shot learning for E2E speech recognition: architectural variants for support set generation. 444-448 - Edvin Pakoci, Darko Pekar, Branislav M. Popovic, Milan Secujski, Vlado Delic:
Overcoming Data Sparsity in Automatic Transcription of Dictated Medical Findings. 454-458 - Steven Vander Eeckt, Hugo Van hamme:
Continual Learning for Monolingual End-to-End Automatic Speech Recognition. 459-463 - Mahmoud El-Hindi, Michael Muma, Abdelhak M. Zoubir:
Semi-Supervised Online Speaker Diarization using Vector Quantization with Alternative Codebooks. 464-468 - Chi-Mao Fan, Tsung-Jung Liu, Kuan-Hsien Liu, Ching-Hsiang Chiu:
Selective Residual M-Net for Real Image Denoising. 469-473 - R. Krishna Kanth, Andrew Gigie, Kriti Kumar, Achanna Anil Kumar, Angshul Majumdar, Balamuralidhar P:
Multi-modal Image Super-resolution with Joint Coupled Deep Transform Learning. 474-478 - Renke Wang, Jun-Jie Huang, Pier Luigi Dragotti:
FRISPEE: FRI-Based Single Image Super-Resolution with Deep Recursive Residual Network. 479-483 - Nour Aburaed, Mohammed Q. Alkhatib, Stephen Marshall, Jaime Zabalza, Hussain Al-Ahmad:
A Comparative Study of Loss Functions for Hyperspectral SISR. 484-487 - Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A CNC approach for Directional Total Variation. 488-492 - Manoj Kumar Panda, Badri N. Subudhi, Thangaraj Veerakumar, Vinit Jakhetiya:
Integration of Bi-dimensional Empirical Mode Decomposition With Two Streams Deep Learning Network for Infrared and Visible Image Fusion. 493-497 - Takuma Aizu, Ryo Matsuoka:
Reflection Removal Using Multiple Polarized Images with Different Exposure Times. 498-502 - Prasenjit Mondal, Ankit Bal:
A Statistical Approach for Multi-frame Shadow Movement Detection and Shadow Removal for Document Capture. 508-512 - Pierre Le Jeune, Anissa Mokraoui:
Improving Few-Shot Object Detection through a Performance Analysis on Aerial and Natural Images. 513-517 - Axel Baldanza, Jean-François Aujol, Yann Traonmilin, François Alary:
Piecewise linear prediction model for action tracking in sports. 518-522 - Matthias Pollach, Felix Schiegg, Matthias Ludwig, Ann-Christin Bette, Alois C. Knoll:
Boundary Enhanced Semantic Segmentation for High Resolution Electron Microscope Images. 523-527 - Zhengning Zhang, Lin Zhang, Yue Wang, Pengming Feng, Shaobo Liu, Jian Wang:
Cross-Level Semantic Segmentation Guided Feature Space Decoupling And Augmentation for Fine-Grained Ship Detection. 528-532 - Andreas Specker, Jürgen Beyerer:
Toward Accurate Online Multi-target Multi-camera Tracking in Real-time. 533-537 - Nizar Bouhlel, David Rousseau:
Multi-Temporal SAR Change Detection using Wavelet Transforms. 538-542 - Zheng Qi, AprilPyone MaungMaung, Yuma Kinoshita, Hitoshi Kiya:
Privacy-Preserving Image Classification Using Vision Transformer. 543-547 - Jorge Bacca, Alejandra Hernandez-Rojas, Henry Arguello:
Deep Coding Patterns Design for Compressive Near-Infrared Spectral Classification. 548-552 - Taichi Ishiwatari, Makiko Azuma, Takuya Handa, Masaki Takahashi, Takahiro Mochizuki, Masanori Sano:
Audio Visual Graph Attention Networks for Event Detection in Sports Video. 553-557 - Dragos Nastasiu, Angela Digulescu, Cornel Ioana, Maxime Bernier, Frédéric Garet, Alexandru Serbanescu:
A novel machine learning approach in Image Pattern Recognition under invariance constraints. 558-562 - Tony Marteau, David Sodoyer, Sebastien Ambellouis, Sitou Afanou:
Level fusion analysis of recurrent audio and video neural network for violence detection in railway. 563-567 - Zohaib Amjad Khan, Giuseppe Valenzise, Aladine Chetouani, Frédéric Dufaux:
Towards an Image Utility Assessment Framework for Machine Perception. 568-572 - Ching-Yu Kao, Junhao Chen, Karla Markert, Konstantin Böttinger:
Rectifying adversarial inputs using XAI techniques. 573-577 - Kakeru Hara, Hiromitsu Isobe, Takao Jinno:
Intrinsic Image Decomposition Under Multiple Colored Lighting Conditions Using a Single Image. 578-582 - Karelia Pena-Pena, Daniel L. Lau, Gonzalo R. Arce:
Colored-QRNet: Fast QR Code Color Image Embedding. 583-587 - Ziyi Yu, Ganggang Dong:
Similarity Analysis of Simulated SAR Target Images. 588-592 - Mireille Fares, Catherine Pelachaud, Nicolas Obin:
Transformer Network for Semantically-Aware and Speech-Driven Upper-Face Generation. 593-597 - Zuzana Bílková, Michal Bartos, Adam Domínec, Simon Gresko, Adam Novozámský, Barbara Zitová, Markéta Paroubková:
ASSISLT: Computer-aided speech therapy tool. 598-602 - Yan Xu, Hongce Wang, Zhongping Dong, Yuexuan Li, Andrew Abel:
Gabor-based Audiovisual Fusion for Mandarin Chinese Speech Recognition. 603-607 - Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz:
Adversarial training with informed data selection. 608-612 - Benedikt Lorch, Nicole Scheler, Christian Riess:
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act. 613-617 - Ruzica Jevtic, Pablo Pérez-Tirador, Carmen Cabezaolias, Pablo Carnero, Gabriel Caffarena:
Side-channel Attack Countermeasure Based on Power Supply Modulation. 618-622 - David Meltzer, David Luengo:
An efficient clustering-based non-fiducial approach for ECG biometric recognition. 623-627 - Rudolf Schraml, Georg Wimmer, Heinz Hofbauer, Ehsaneddin Jalilian, Dinara Bekkozhayeva, Petr Císar, Andreas Uhl:
CNN-based fish iris identification. 628-632 - Süleyman Özdel, Çagatay Ates, Pelin Damla Ates, Mutlu Koca, Emin Anarim:
Payload-Based Network Traffic Analysis for Application Classification and Intrusion Detection. 638-642 - Anis Trabelsi, Marc Michel Pic, Jean-Luc Dugelay:
Improving Deepfake Detection by Mixing Top Solutions of the DFDC. 643-647 - Jakub Stankowski, Marek Domanski, Tomasz Grajek:
Fast and Energy-Efficient Watermarking of HEVC-Compressed Video Bitstreams. 648-652 - Florian Euchner, Niklas Süppel, Marc Gauger, Sebastian Dörner, Stephan ten Brink:
Deep Learning for Uplink CSI-based Downlink Precoding in FDD massive MIMO Evaluated on Indoor Measurements. 653-657 - Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar:
Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding. 658-662 - Arzhang Shahbazi, Igor Donevski, Jimmy Jessen Nielsen, Marco Di Renzo:
Federated Reinforcement Learning UAV Trajectory Design for Fast Localization of Ground Users. 663-666 - Daniel Schäufele, Guillermo Marcus, Nikolaus Binder, Matthias Mehlhose, Alexander Keller, Slawomir Stanczak:
GPU-Accelerated Machine Learning in Non-Orthogonal Multiple Access. 667-671 - Marcelo Fiori, Bernardo Marenco, Federico Larroca, Paola Bermolen, Gonzalo Mateos:
Algorithmic Advances for the Adjacency Spectral Embedding. 672-676 - Oyku Deniz Kose, Yanning Shen:
Fairness-aware Adaptive Network Link Prediction. 677-681 - Reza Mirzaeifard, Vinay Chakravarthi Gogineni, Naveen K. D. Venkategowda, Stefan Werner:
Dynamic Graph Topology Learning with Non-Convex Penalties. 682-686 - Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano:
Online Joint Nonlinear Topology Identification and Missing Data Imputation over Dynamic Graphs. 687-691 - Yanbin He, Mario Coutino, Elvin Isufi, Geert Leus:
Dynamic Bi-Colored Graph Partitioning. 692-696 - Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa:
Dynamic Resource Allocation for Multi-User Goal-oriented Communications at the Wireless Edge. 697-701 - Matteo Zecchin, David Gesbert, Marios Kountouris:
UAV-Aided Decentralized Learning over Mesh Networks. 702-706 - Dejan Vukobratovic, Milan Lukic, Ivan Mezei, Dragana Bajovic, Dragan Danilovic, Milos Savic, Zarko Bodroski, Srdjan Skrbic, Dusan Jakovetic:
Edge Machine Learning in 3GPP NB-IoT: Architecture, Applications and Demonstration. 707-711 - Reent Schlegel, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
Straggler-Resilient Secure Aggregation for Federated Learning. 712-716 - Salman Mohebi, Andrea Zanella, Michele Zorzi:
Repulsive Clustering Based Pilot Assignment for Cell-Free Massive MIMO Systems. 717-721 - Roberto Pereira, Anay Ajit Deshpande, Cristian J. Vaca-Rubio, Xavier Mestre, Andrea Zanella, David Gregoratti, Elisabeth de Carvalho, Petar Popovski:
User Clustering for Rate Splitting using Machine Learning. 722-726 - Chang Ye, Gonzalo Mateos:
Learning to Identify Sources of Network Diffusion. 727-731 - Arpita Gang, Waheed U. Bajwa:
The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient. 732-736 - Pouya M. Ghari, Yanning Shen:
Graph-Assisted Communication-Efficient Ensemble Federated Learning. 737-741 - Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates:
Contrastive Learning for Time Series on Dynamic Graphs. 742-746 - Talha Bozkus, Urbashi Mitra:
Ensemble Link Learning for Large State Space Multiple Access Communications. 747-751 - Thomas Haubner, Walter Kellermann:
Deep Learning-Based Joint Control of Acoustic Echo Cancellation, Beamforming and Postfiltering. 752-756 - Kana Goto, Tetsuya Ueda, Li Li, Takeshi Yamada, Shoji Makino:
Geometrically Constrained Independent Vector Analysis with Auxiliary Function Approach and Iterative Source Steering. 757-761 - Aviad Eisenberg, Sharon Gannot, Shlomo E. Chazan:
Single microphone speaker extraction using unified time-frequency Siamese-Unet. 762-766 - Yuki Shiroma, Yuma Kinoshita, Keisuke Imoto, Sayaka Shiota, Nobutaka Ono, Hitoshi Kiya:
Missing data recovery using autoencoder for multi-channel acoustic scene classification. 767-771 - Jianyuan Sun, Xubo Liu, Xinhao Mei, Jinzheng Zhao, Mark D. Plumbley, Volkan Kiliç, Wenwu Wang:
Deep Neural Decision Forest for Acoustic Scene Classification. 772-776 - Zheng Hu, Tiancheng Li:
A Particle Bernoulli Filter Based on Gaussian Process Learning for Maneuvering Target Tracking. 777-781 - Xiongjie Chen, Yunpeng Li:
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow. 782-786 - Jinzheng Zhao, Peipei Wu, Shidrokh Goudarzi, Xubo Liu, Jianyuan Sun, Yong Xu, Wenwu Wang:
Visually Assisted Self-supervised Audio Speaker Localization and Tracking. 787-791 - Yuhao Liu, Marzieh Ajirak, Petar M. Djuric:
Inference with Deep Gaussian Process State Space Models. 792-796 - Benjamin Cox, Víctor Elvira:
Parameter Estimation in Sparse Linear-Gaussian State-Space Models via Reversible Jump Markov Chain Monte Carlo. 797-801 - Alireza Sadeghi, Georgios B. Giannakis:
Learning while Respecting Privacy and Robustness to Adversarial Distributed Datasets. 802-806 - Genjia Liu, Maosen Li, Siheng Chen:
Multiscale Graph Scattering Transform. 812-816 - Stefan Vlaski, Christian A. Schroth, Michael Muma, Abdelhak M. Zoubir:
ROBUST AND EFFICIENT AGGREGATION FOR DISTRIBUTED LEARNING. 817-821 - Sai Kiran Kadambari, Robin Francis, Sundeep Prabhakar Chepuri:
Distributed Denoising over Simplicial Complexes using Chebyshev Polynomial Approximation. 822-826 - Florian Mouret, Mohanad Albughdadi, Sylvie Duthoit, Denis Kouamé, Jean-Yves Tourneret:
Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation. 827-831 - Le Trung Thanh, Karim Abed-Meraim, Nguyen Linh Trung, Adel Hafiane:
Robust Tensor Tracking With Missing Data Under Tensor-Train Format. 832-836 - Geethu Joseph, Pramod K. Varshney:
State Estimation of Linear Systems With Sparse Inputs and Markov-Modulated Missing Outputs. 837-841 - Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal:
Riemannian Classification of EEG Signals with Missing Values. 842-846 - Rishhabh Naik, Nisarg Trivedi, Davoud Ataee Tarzanagh, Laura Balzano:
Truncated Matrix Completion - An Empirical Study. 847-851 - Jérôme Daniel, Srdan Kitic:
Echo-enabled Direction-of-Arrival and range estimation of a mobile source in Ambisonic domain. 852-856 - Mona Alawadh, Yihong Wu, Yuwen Heng, Luca Remaggi, Mahesan Niranjan, Hansung Kim:
Room Acoustic Properties Estimation from a Single 360° Photo. 857-861 - Ids Van der Werf, Pablo Martínez-Nuevo, Martin Bo Møller, Richard C. Hendriks, Jorge Martínez:
Towards Gridless Sound Field Reconstruction. 862-866 - Stéphane Dilungana, Antoine Deleforge, Cédric Foy, Sylvain Faisan:
Geometry-Informed Estimation of Surface Absorption Profiles from Room Impulse Responses. 867-871 - Jakeoung Koo, Abderrahim Halimi, Aurora Maccarone, Gerald S. Buller, Stephen McLaughlin:
A Bayesian Based Unrolling Approach to Single-Photon Lidar Imaging through Obscurants. 872-876 - Julien Lesouple, Philippe Burger, Jean-Yves Tourneret:
An EM Algorithm for Mixtures of Hyperspheres. 877-881 - Martijn van den Ende, André Ferrari, Anthony Sladen, Cédric Richard:
Deep Deconvolution Applied to Distributed Acoustic Sensing for Traffic Analysis. 882-886 - Esa Ollila, Hyon-Jung Kim:
Robust tensor regression with applications in imaging. 887-891 - Youhao Yu, Richard M. Dansereau:
STP-DEQ-Net: A Deep Equilibrium Model Based on ISTA Method for Image Compressive Sensing. 887-891 - Jasin Machkour, Michael Muma, Daniel P. Palomar:
False Discovery Rate Control for Grouped Variable Selection in High-Dimensional Linear Models Using the T-Knock Filter. 892-896 - François Gaits, Nicolas Mellado, Adrian Basarab:
Efficient 2D ultrasound simulation based on dart-throwing 3D scatterer sampling. 897-901 - Jasleen Birdi, Jan D'hooge, Alexander Bertrand:
A Neural Network Approach for Ultrasound Attenuation Coefficient Estimation. 902-906 - Peiran Chen, Metin Calis, Hessel Wijkstra, Pintong Huang, Borbála Hunyadi, Massimo Mischi:
Multiparametric ultrasound and machine learning for prostate cancer localization. 907-911 - Dragan Golubovic, Miljko Eric, Nenad Vukmirovic:
High-Resolution Method for Primary Signal Processing in HFSWR. 912-916 - Valentin Noël, Yingying Qin, Thomas Rodet, Dominique Lesselier:
Breast Imaging by Cascaded CNN from Joint Microwave and Ultrasonic Data. 917-921 - Yang Li, Gonzalo Mateos:
Learning Similarity-Preserving Representations of Brain Structure-Function Coupling. 922-926 - Panagiotis C. Petrantonakis, Ioannis Kompatsiaris:
Fast Feature Extraction from Large Scale Connectome Data Sets Using Zero Crossing Counts Over Graphs. 927-931 - Tiziana Cattai, Gaetano Scarano, Marie-Constance Corsi, Fabrizio de Vico Fallani, Stefania Colonnese:
EEG as Signal on Graph: a Multilayer Network model for BCI applications. 932-936 - Yassine El Ouahidi, Hugo Tessier, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Pruning Graph Convolutional Networks to Select Meaningful Graph Frequencies for FMRI Decoding. 937-941 - Alessandra Griffa, Maria Giulia Preti:
Brain structure-function coupling is unique to individuals across multiple frequency bands: a graph signal processing study. 942-946 - Hoang Trieu Vy Le, Nelly Pustelnik, Marion Foare:
The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising. 947-951 - Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato:
Learning the Image Prior by Unrolling an Optimization Method. 952-956 - Audrey Repetti, Matthieu Terris, Yves Wiaux, Jean-Christophe Pesquet:
Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. 957-961 - Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. 962-966 - Riccardo Marini, Leonardo Spampinato, Silvia Mignardi, Roberto Verdone, Chiara Buratti:
Reinforcement Learning-Based Trajectory Planning For UAV-aided Vehicular Communications. 967-971 - Chaoyi Pan, Yuzi Yan, Zexu Zhang, Yuan Shen:
Flexible Formation Control Using Hausdorff Distance: A Multi-agent Reinforcement Learning Approach. 972-976 - Hechuan Wang, Xiaokun Zhao, Mónica F. Bugallo:
Indoor UAV Height Estimation with Multiple Model-Detecting Particle Filters. 977-981 - Siwei Zhang, Anna Guerra, Francesco Guidi, Davide Dardari, Petar M. Djuric:
Multi-Agent Navigation with Reinforcement Learning Enhanced Information Seeking. 982-986 - Siwei Zhang, Kimon Cokona, Robert Pöhlmann, Emanuel Staudinger, Thomas Wiedemann, Armin Dammann:
Cooperative Pose Estimation in a Robotic Swarm: Framework, Simulation and Experimental Results. 987-991 - Petteri Pulkkinen, Visa Koivunen:
Model-Based Online Learning for Joint Radar-Communication Systems Operating in Dynamic Interference. 992-996 - Rang Liu, Ming Li, A. Lee Swindlehurst:
Joint Beamforming and Reflection Design for RIS-assisted ISAC Systems. 997-1001 - Joan Palacios, Nuria González Prelcic, Cristian Rusu:
Low complexity joint position and channel estimation at millimeter wave based on multidimensional orthogonal matching pursuit. 1002-1006 - Tong Wei, Linlong Wu, Kumar Vijay Mishra, Shankar Mysore Rama R. Bhavani:
Simultaneous Active-Passive Beamformer Design in IRS-Enabled Multi-Carrier DFRC System. 1007-1011 - Micael Bernhardt, Jaakko Marin, Taneli Riihonen:
Characterization of Full-Duplex Constant-Envelope Transceiver for Emerging Multifunction Systems. 1012-1016 - Daniel Schulz, Jose Maureira, Juan E. Tapia, Christoph Busch:
Identity Documents Image Quality Assessment. 1017-1021 - Elena Rodríguez Lois, David Vázquez-Padín, Fernando Pérez-González, Pedro Comesaña Alfaro:
A Critical Look into Quantization Table Generalization Capabilities of CNN-based Double JPEG Compression Detection. 1022-1026 - Sebastián González, Juan E. Tapia:
Towards Refining ID Cards Presentation Attack Detection Systems using Face Quality Index. 1027-1031 - Quentin Giboulot, Patrick Bas, Rémi Cogranne, Dirk Borghys:
The Cover Source Mismatch Problem in Deep-Learning Steganalysis. 1032-1036 - Ziga Babnik, Vitomir Struc:
Assessing Bias in Face Image Quality Assessment. 1037-1041 - Antonio Giganti, Luca Cuccovillo, Paolo Bestagini, Patrick Aichroth, Stefano Tubaro:
Speaker-Independent Microphone Identification in Noisy Conditions. 1047-1051 - Marco Huber, Philipp Terhöst, Florian Kirchbuchner, Naser Damer, Arjan Kuijper:
On Evaluating Pixel-Level Face Image Quality Assessment. 1052-1056 - Martin Benes, Nora Hofer, Rainer Böhme:
The Effect of the JPEG Implementation on the Cover-Source Mismatch Error in Image Steganalysis. 1057-1061 - Shengnan Shi, Ziyang Cheng, Linlong Wu, Zishu He, Bhavani Shankar:
Distributed 5G NR-Based Integrated Sensing and Communication Systems: Frame Structure and Performance Analysis. 1062-1066 - Bowen Wang, Ziyang Cheng, Linlong Wu, Zishu He:
Hybrid Beamforming Design for OFDM Dual-Function Radar-Communication System with Double-Phase-Shifter Structure. 1067-1071 - R. S. Prasobh Sankar, Sundeep Prabhakar Chepuri:
Beamforming in Hybrid RIS assisted Integrated Sensing and Communication Systems. 1082-1086 - Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas:
Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. 1087-1091 - Tedros Salih Abdu, Steven Kisseleff, Lei Lei, Eva Lagunas, Joel Grotz, Symeon Chatzinotas:
A Deep Learning Based Acceleration of Complex Satellite Resource Management Problem. 1092-1096 - Nemanja Milosevic, Dusan Jakovetic, Srdjan Skrbic, Milos Savic, Dusan Stamenkovic, Julien-Etienne Mascolo, Davide Masera:
BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. 1097-1101 - Nasrin Razmi, Bho Matthiesen, Armin Dekorsy, Petar Popovski:
Scheduling for Ground-Assisted Federated Learning in LEO Satellite Constellations. 1102-1106 - Miguel Ángel Vázquez, Pol Henarejos, Ana I. Pérez-Neira:
Learning to Optimize Satellite Flexible Payloads. 1107-1110 - Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Weighted Edit Distance for Country Code Recognition in License Plates. 1111-1115 - Christos Tzagkarakis, Pavlos Charalampidis, Stylianos Roubakis, Alexandros G. Fragkiadakis, Sotiris Ioannidis:
Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments. 1116-1120 - Alessio Brutti, Francesco Paissan, Alberto Ancilotto, Elisabetta Farella:
Optimizing PhiNet architectures for the detection of urban sounds on low-end devices. 1121-1125 - Özkan Çayli, Volkan Kiliç, Aytug Onan, Wenwu Wang:
Auxiliary Classifier based Residual RNN for Image Captioning. 1126-1130 - Denis Ivanko, Dmitry Ryumin, Alexey M. Kashevnik, Alexandr Axyonov, Alexey Karnov:
Visual Speech Recognition in a Driver Assistance System. 1131-1135 - Samuel Lipping, Parthasaarathy Sudarsanam, Konstantinos Drossos, Tuomas Virtanen:
Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering. 1140-1144 - Xubo Liu, Xinhao Mei, Qiushi Huang, Jianyuan Sun, Jinzheng Zhao, Haohe Liu, Mark D. Plumbley, Volkan Kilic, Wenwu Wang:
Leveraging Pre-trained BERT for Audio Captioning. 1145-1149 - Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh:
Towards Parametric Speech Synthesis Using Gaussian-Markov Model of Spectral Envelope and Wavelet-Based Decomposition of F0. 1150-1154 - Branislav M. Popovic, Lidija Krstanovic, Marko Janev, Sinisa Suzic, Tijana V. Nosek, Jovan Galic:
Speech Enhancement Using Augmented SSL CycleGAN. 1155-1159 - Özge Taylan Moral, Volkan Kiliç, Aytug Onan, Wenwu Wang:
Automated Image Captioning with Multi-layer Gated Recurrent Unit. 1160-1164 - Janez Krizaj, Jerneja Zganec-Gros, Simon Dobrisek:
Validation of Speech Data for Training Automatic Speech Recognition Systems. 1165-1169 - Vladimir Obradovic, Ilija Rajak, Milan Secujski, Vlado Delic:
Text driven virtual speakers. 1170-1173 - Nikola Simic, Sinisa Suzic, Tijana V. Nosek, Mia Vujovic, Milan Secujski:
Impact of different voting strategies in CNN based speech emotion recognition. 1174-1177 - Sinisa Suzic, Darko Pekar, Milan Secujski, Tijana V. Nosek, Vlado Delic:
HiFi-GAN based Text-to-Speech Synthesis in Serbian. 1178-1182 - Bojan Sofronievski, Elena Velovska, Martin Velichkovski, Violeta Argirova, Tea Veljkovikj, Risto Chavdarov, Stefan Janev, Veselinka Labroska, Kristijan Lazarev, Toni Bachvarovski, Zoran A. Ivanovski, Dimitar Tashkovski, Branislav Gerazov:
Macedonian Speech Synthesis for Assistive Technology Applications. 1183-1187 - Hassan Serhal, Nassib Abdallah, Jean-Marie Marion, Pierre Chauvet, Mohamad Oueidat, Anne Humeau-Heurtier:
Wavelet transformation approaches for prediction of atrial fibrillation. 1188-1192 - Beatriz Sanabria-Barradas, Saeid Sanei, Dora E. Granados-Ramos:
A Hybrid Tensor Factorization - Singular Spectrum Analysis Approach for ERP-based Assessment of Autism in Children. 1193-1197 - Somar Karheily, Ali Moukadem, Jean-Baptiste Courbot, Djaffar Ould Abdeslam:
sEMG feature extraction using Generalized Discrete Orthonormal Stockwell Transform and Modified Multi-Dimensional Scaling. 1198-1202 - Manuel Abbas, Jean-Charles Roy, Gabriel Robert, Régine Le Bouquin Jeannes:
Utility of Actimetry to Detect Apathy in Old-Age Depression: a Pilot Study. 1203-1207 - Christof Baeriswyl, Alexander Bertrand, Reto A. Wildhaber:
Windowed State Space Filters for Peak Interference Suppression in Neural Spike Sorting. 1208-1212 - Andreas Kofler, Christian Wald, Tobias Schaeffter, Markus Haltmeier, Christoph Kolbitsch:
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks. 1213-1217 - Karen Fonseca, Sergio Osorio, Jeyson Castillo, Carlos Fajardo:
Contrastive learning for atrial fibrillation detection in challenging scenarios. 1218-1222 - Gaëlle Milon-Harnois, Nisrine Jrad, Daniel Schang, Patrick Van Bogaert, Pierre Chauvet:
Deep Learning for scalp High Frequency Oscillations Identification. 1223-1227 - Michaela Areti Zervou, Effrosyni Doutsi, Panagiotis Tsakalides:
Secondary Structure Classification of Low-homology Proteins with Graph Neural Networks. 1228-1232 - Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi:
Audio-Based Deep Learning Frameworks for Detecting COVID-19. 1233-1237 - Isabel Casso, José Rouillard, Hakim Si-Mohammed, Nacim Betrouni, François Cabestaing, Anahita Basirat:
Preliminary study for intonation classification of imagined speech for brain-computer interface applications. 1238-1242 - Julian Schott, Robin Gransier, Jan Wouters, Marc Moonen:
Electrically evoked auditory steady state response detection in cochlear implant recipients using a system identification approach. 1243-1247 - Tong Chen, Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric:
Characterizing Fetal Heart Rate From A State Space Perspective. 1248-1252 - Aastha Kachhi, Priyanka Gupta, Hemant A. Patil:
Features Motivated From Uncertainty Principle for Classification of Normal vs. Pathological Infant Cry. 1253-1257 - M. Panagiotou, Athanasia Zlatintsi, Panagiotis Paraskevas Filntisis, Anargyros J. Roumeliotis, Niki Efthymiou, Petros Maragos:
A comparative study of autoencoder architectures for mental health analysis using wearable sensors data. 1258-1262 - C. Prévost, Freddy Odille:
Multi-Frame Super-Resolution MRI Using Coupled Low-Rank Tucker Approximation. 1263-1267 - Dylan Brault, Loïc Denis, Sophie Dixneuf, Thomas Olivier, Nicolas Faure, Corinne Fournier:
Fast and robust pattern detection: Application to spherical bead location in holographic microscopy. 1268-1272 - Edgar S. Paulo, Lucas A. Thomaz, Luis M. N. Tavora, Pedro A. Amado Assunção, Sérgio M. M. Faria:
Extending the compression range of biomedical images for machine vision analysis. 1273-1277 - Elisa Ramírez, Rocío del Amor, Gabriel García, Valery Naranjo:
Glaucoma Grading VIA Mean Defect Back Propagation From OCT Images. 1278-1282 - Rehan Jhuboo, Ievgen Redko, Alain Guignandon, Françoise Peyrin, Marc Sebban:
Why do State-of-the-art Super-Resolution Methods not work well for Bone Microstructure CT Imaging? 1283-1287 - Wenbo Wang, Jian Guan, Xinyi Che, Wenwu Wang:
MS-MLP: Multi-scale Sampling MLP for ECG Classification. 1288-1292 - Deniz Hande Kisa, Mehmet Akif Ozdemir, Onan Güren, Aydin Akan:
Classification of Hand Gestures using sEMG Signals and Hilbert-Huang Transform. 1293-1297 - Silvin P. Knight, Mark Ward, James Davis, Eoin Duggan, Rose-Anne Kenny, Roman Romero-Ortuno:
The prediction of mortality from continuous non-invasive cardiovascular signals on standing: entropy was significant, but not the overall response profile. 1298-1302 - Gopika Gopan K., Neelam Sinha, Dinesh Babu J.:
Inter-channel Covariance Matrices Based Analyses of EEG Baselines. 1303-1307 - Vangelis P. Oikonomou, Spiros Nikolopoulos, Ioannis Kompatsiaris:
A Multitask Bayesian Framework for the analysis of Motor Imagery EEG Data. 1308-1312 - Ankur T. Patil, Aastha Kachhi, Hemant A. Patil:
Subband Teager Energy Representations for Infant Cry Analysis and Classification. 1313-1317 - Maria-Paula Duval Comsa, Ronald Phlypo, Pierre Grangeat:
Inverting the diffusion-convection equation for gas desorption through an homogeneous membrane by Kalman filtering. 1318-1322 - Sawon Pratiher, Subhankar Chattoraj, Debaleena Nawn, Mousumi Pal, Ranjan Rashmi Paul, Hubert Konik, Jyotirmoy Chatterjee:
A Multi-Scale Context Aggregation Enriched MLP-Mixer Model for Oral Cancer Screening from Oral Sub-epithelial Connective Tissues. 1323-1327 - Marin Bencevic, Marija Habijan, Irena Galic, Aleksandra Pizurica:
Self-supervised Learning as a Means to Reduce the Need for Labeled Data in Medical Image Analysis. 1328-1332 - Alex Cazañas-Gordón, Lus A. da Silva Cruz:
Automatic Detection of the Retina in Optical Coherence Tomography using Deep Q Learning. 1333-1337 - Panagiotis Barmpoutis, William Waddingham, Christopher Ross, Hamzeh Kayhanian, Daniel C. Alexander, Marnix Jansen:
Gland segmentation in gastric histology images: detection of intestinal metaplasia. 1338-1342 - Carolin Wuerich, Eva-Maria Humm, Christian Wiede, Gregor Schiele:
A Feature-based Approach on Contact-less Blood Pressure Estimation from Video Data. 1343-1347 - Tim J. Parbs, Philipp Koch, Alfred Mertins:
Convolutive Attention for Image Registration. 1348-1352 - Jakub Jamarik, Lubomir Vojtisek, Daniel Schwarz:
Uncovering cortical layers with multi-exponential analysis: a region of interest study. 1353-1356 - Jyoti Maggu, Shalini Sharma, Angshul Majumdar:
Transductive Inversion via Deep Transform Learning. 1357-1361 - Nastaran Enshaei, Moezedin Javad Rafiee, Farnoosh Naderkhani:
A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices. 1362-1366 - Xavier Pic, Marc Antonini:
A constrained Shannon-Fano entropy coder for image storage in synthetic DNA. 1367-1371 - Raphaël Baena, Lucas Drumetz, Vincent Gripon:
A Local Mixup to Prevent Manifold Intrusion. 1372-1376 - Ouafae Karmouda, Rémy Boyer, Jérémie Boulanger:
High-Dimensional Data Learning Based on Tensorial-Singular Space of Tensor Train Cores. 1377-1381 - Paul M. Baggenstoss:
Trainable Compound Activation Functions for Machine Learning. 1382-1386 - Kang Du, Yu Xiang:
An Invariant Matching Property for Distribution Generalization under Intervened Response. 1387-1391 - Maxime Leiber, Axel Barrau, Yosra Marnissi, Dany Abboud:
A differentiable short-time Fourier transform with respect to the window length. 1392-1396 - Bart van Erp, Bert de Vries:
Hybrid Inference with Invertible Neural Networks in Factor Graphs. 1397-1401 - Mahiout Thomas, Fillatre Lionel, Deruaz-Pepin Laurent:
Learning-Based Scattering Transform for Explainable Classification. 1402-1406 - Emma Jouffroy, Audrey Giremus, Yannick Berthoumieu, Olivier Bach, Alain Hugget:
Automatic selection of latent variables in variational auto-encoders. 1407-1411 - Alaaeddine Chaoub, Christophe Cerisara, Alexandre Voisin, Benoît Iung:
Towards interpreting deep learning models for industry 4.0 with gated mixture of experts. 1412-1416 - Srdan Lazendic, Jens Janssens, Shaoguang Huang, Aleksandra Pizurica:
On Interpretability of CNNs for Multimodal Medical Image Segmentation. 1417-1421 - Martijn van der Marel, Raj Thilak Rajan:
Distributed Kalman Filters for Relative Formation Control of Multi-Agent Systems. 1422-1426 - Bar Rubinstein, Yoav Filin, Nir Shlezinger, Nariman Farsad:
Personalized Sleep State Classification via Learned Factor Graphs. 1427-1431 - Gürkan Aydemir, Kamran Paynabar, Burak Acar:
Robust Feature Learning for Remaining Useful Life Estimation Using Siamese Neural Networks. 1432-1436 - Christoph Brauer, Dirk A. Lorenz, Lionel Tondji:
Group equivariant networks for leakage detection in vacuum bagging. 1437-1441 - Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis:
Conditional Variational Graph Autoencoder for Air Quality Forecasting. 1442-1446 - Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. 1447-1451 - Ragavesh Dhandapani, Imene Mitiche, Scott McMeekin, Gordon Morison:
Bearing Faults Diagnosis and Classification Using Generalized Gaussian Distribution Multiscale Dispersion Entropy Features. 1452-1456 - Jiho Lee, Kunhee Kim, Taehun Kim, Daijin Kim:
Improving Style Randomization via Domain-specific Feature Reweighting for Domain Generalization. 1457-1461 - Izumi Ito:
Convolution Using Discrete Cosine Transforms for Improving Performance of Convolutional Neural Networks. 1462-1466 - Marzieh Ajirak, Yuhao Liu, Petar M. Djuric:
Ensembles of Gaussian process latent variable models. 1467-1471 - Mitsuhiko Horie, Hiroyuki Kasai:
Auto-weighted Sequential Wasserstein Distance and Application to Sequence Matching. 1472-1476 - Zuokun Ouyang, Philippe Ravier, Meryem Jabloun:
Are Deep Learning Models Practically Good as Promised? A Strategic Comparison of Deep Learning Models for Time Series Forecasting. 1477-1481 - Mohamed Alami Chehboune, Rim Kaddah, Luca Martino, Fernando Llorente, Jesse Read:
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies. 1482-1486 - Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. 1487-1491 - Anubhab Ghosh, Aleix Espuña Fontcuberta, Mohamed Rasheed-Hilmy Abdalmoaty, Saikat Chatterjee:
Time-varying Normalizing Flow for Generative Modeling of Dynamical Signals. 1492-1496 - Albert Podusenko, Bart van Erp, Dmitry Bagaev, Ismail Senöz, Bert de Vries:
Message Passing-based Inference in Switching Autoregressive Models. 1497-1501 - Sheida Nozari, Ali Krayani, Lucio Marcenaro, David Martín, Carlo S. Regazzoni:
Incremental Learning through Probabilistic Behavior Prediction. 1502-1506 - Othmane-Latif Ouabi, Jiawei Yi, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cédric Pradalier:
Polygonal Shapes Reconstruction from Acoustic Echoes Using a Mobile Sensor and Beamforming. 1507-1511 - Felix Vollmer, Jan Graßhoff, Philipp Rostalski:
Probabilistic Ultra-Wideband TDoA Localization with Bias Correction. 1512-1516 - Hoang M. H. Nguyen, Semih Akbayrak, Magnus T. Koudahl, Bert de Vries:
Gaussian Process-based Amortization of Variational Message Passing Update Rules. 1517-1521 - Samira Reihanian, Amin Zollanvari:
Optimal Bayesian Regression for Serially Dependent Training Observations. 1522-1525 - Paul M. Baggenstoss, Frank Kurth:
Using the Projected Belief Network at High Dimensions. 1526-1530 - Cyril Cano, Éric Chassande-Mottin, Nicolas Le Bihan:
Fast and Accurate Gravitational-Wave Modelling with Principal Component Regression. 1531-1535 - Stavros Sykiotis, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis:
An Efficient Deep Bidirectional Transformer Model for Energy Disaggregation. 1536-1540 - Abdulrahman Takiddin, Muhammad Ismail, Erchin Serpedin:
Detection of Electricity Theft False Data Injection Attacks in Smart Grids. 1541-1545 - Marc Sebastián Padrós, Pascal A. Schirmer, Iosif Mporas:
Estimation of Cooling Circuits' Temperature in Battery Electric Vehicles Using Karhunen Loeve Expansion and LSTM. 1546-1550 - Dimitrije Bujakovic, Milenko Andric, Boban P. Bondzulic, Slobodan Simic:
Classification of Radar Targets using Features Based on Warped Discrete Fourier Transform. 1556-1560 - Messay Tafesse Tamire, Venkata Pathuri Bhuvana, Bernhard Lehner, Stefan Schuster, Andreas Och, Muhammad Nadeem Akram:
Acoustic Temperature Tomography using a UNet based Deep Learning Approach. 1561-1565 - Rodrigo Hernangómez, Igor Bjelakovic, Lorenzo Servadei, Slawomir Stanczak:
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy. 1566-1570 - Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. 1571-1575 - Jérémy Fix, Israel Hinostroza, Chengfang Ren, Giovanni Manfredi, Thierry Letertre:
Transfer learning for human activity classification in multiple radar setups. 1576-1580 - Ryohei Sasaki, Guo Bin, Katsumi Konishi:
Neural Network based on Local Dimensionality Reduction for Matrix Completion. 1581-1585 - Lior Frenkel, Jacob Goldberger:
Network Calibration by Temperature Scaling based on the Predicted Confidence. 1586-1590 - Anish Datta, Soma Bandyopadhyay, Shruti Sachan, Arpan Pal:
Unsupervised Feature Recommendation using Representation Learning. 1591-1595 - Ana Neacsu, Razvan Ciubotaru, Jean-Christophe Pesquet, Corneliu Burileanu:
Design of Robust Complex-Valued Feed-Forward Neural Networks. 1596-1600 - Ivan Vajs, Vanja Kovic, Tamara Papic, Andrej M. Savic, Milica M. Jankovic:
Dyslexia detection in children using eye tracking data based on VGG16 network. 1601-1605 - Apostolos Modas, Andrea Cavallaro, Pascal Frossard:
Data augmentation with mixtures of max-entropy transformations for filling-level classification. 1606-1610 - Ming Jun Zhang, Samuel Garcia, Michel Terré:
Fast Learning Architecture for Neural Networks. 1611-1615 - Vincent Choqueuse, Alexandru Frunza, Adel Belouchrani, Stéphane Azou, Pascal Morel:
ParamNet: A Multi-Layer Parametric Network for Joint Channel Estimation and Symbol Detection. 1616-1620 - Paschalis Tsiaflakis, Werner Coomans:
Inference-based Reinforcement Learning and its Application to Dynamic Resource Allocation. 1621-1625 - Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Robust MIMO Detection using Hypernetworks with Learned Regularizers. 1626-1630 - Lukas Schynol, Marius Pesavento:
Deep Unfolding in Multicell MU-MIMO. 1631-1635 - Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation classification models. 1636-1640 - Robbe Van Rompaey, Marc Moonen:
GEVD-based Low-Rank Channel Covariance Matrix Estimation and MMSE Channel Estimation for Uplink Cellular Massive MIMO Systems. 1641-1645 - Khawar Hussain, Roberto López-Valcarce:
Orthogonal precoding with memory for sidelobe suppression in OFDM. 1646-1650 - Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra:
Detection by Sampling: Massive MIMO Detector based on Langevin Dynamics. 1651-1655 - Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen:
Federated Learning Based Resource Allocation for Wireless Communication Networks. 1656-1660 - Behrouz Maham:
Performance Analysis of Large Intelligent Surfaces in Dense Millimeter-Wave Deployment. 1661-1665 - Luca Serafini, Giulia Tanoni, Emanuele Principi, Susanna Spinsante, Stefano Squartini:
A Multiple Instance Regression Approach to Electrical Load Disaggregation. 1666-1670 - Ruijie Du, Yanning Shen:
Fairness-aware User Classification in Power Grids. 1671-1675 - Denis Stanescu, Angela Digulescu, Cornel Ioana, Alexandru Serbanescu:
Transient power grid phenomena classification based on phase diagram features and machine learning classifiers. 1676-1680 - Imene Mitiche, Alireza Salimy, Philip Boreham, Tony McGrail, Alan Nesbitt, Gordon Morison:
Unsupervised Source Separation for Multi-Label Classification. 1686-1690 - Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Quantization-Aware Federated Learning with Coarsely Quantized Measurements. 1691-1695 - Evangelos Vlachos, Christos Mavrokefalidis, Kostas Berberidis:
Channel Estimation for UAV-based mmWave Massive MIMO Communications with Beam Squint. 1696-1700 - Rodrigo Hernangómez, Alexandros Palaios, Gayathri Guruvayoorappan, Martin Kasparick, Noor Ul Ain, Slawomir Stanczak:
Online QoS estimation for vehicular radio environments. 1701-1705 - Adnan Hanif, Milos Doroslovacki:
Amplitude Shift Keying Constellation Space for Simultaneous Wireless Information and Power Transfer. 1706-1710 - Congji Yin, Wenjiang Feng, Junbing Li, Guojun Li:
A Low-Complexity Double EP-Based DFE for Turbo Equalization. 1711-1715 - Steffen Schieler, Michael Döbereiner, Sebastian Semper, Markus H. Landmann:
Estimating Multi-Modal Dense Multipath Components using Auto-Encoders. 1716-1720 - Yilun Du, Karim Abed-Meraim, Ouahbi Rekik:
Joint Channel Estimation and MAP Detection of Probabilistically Shaped QAM. 1721-1725 - Carlos Alejandro López, Jaume Riba:
Sparse-Aware Approach for Covariance Conversion in FDD Systems. 1726-1730 - Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas:
Learning photonic neural network initialization for noise-aware end-to-end fiber transmission. 1731-1735 - Mikael Sørensen, Nicholas D. Sidiropoulos:
Identifiability Results for Nonuniform Linear and Rectangular Sensor Arrays. 1736-1740 - Zhuoqian Jiang, Jingmin Xin, Weiliang Zuo, Nanning Zheng, Akira Sano:
Deep Residual Learning Based Localization of Near-Field Sources in Unknown Spatially Colored Noise Fields. 1741-1745 - Shekhar Kumar Yadav, Nithin V. George:
Sparse 3D Array made from Nested Linear Array Branches for Underdetermined Source Localization. 1746-1750 - Wesley S. Leite, Rodrigo C. de Lamare:
Noncoherent Sparse Subarrays for DOA Estimation Based on Low-Rank and Sparse Recovery. 1751-1755 - Mohammad Bokaei, Saeed Razavikia, Arash Amini, Stefano Rini:
Single-Snapshot DOA Estimation via Weighted Hankel-Structured Matrix Completion. 1756-1760 - Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Eigenvalue-Based Block Diagonal Representation and Application to p-Nearest Neighbor Graphs. 1761-1765 - Daniela Dapena, Daniel L. Lau, Gonzalo R. Arce:
Density Aware Blue-Noise Sampling on Graphs. 1766-1770 - Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelmé, Nicolas Tremblay:
Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. 1771-1775 - Tatsuya Koyakumaru, Masahiro Yukawa:
Efficient Robust Graph Learning Based on Minimax Concave Penalty and $\gamma$-Cross Entropy. 1776-1780 - Ecem Bozkurt, Antonio Ortega:
Non-Negative Kernel Graphs for Time-Varying Signals Using Visibility Graphs. 1781-1785 - Örkény Zováthi, Balázs Pálffy, Csaba Benedek:
Real-time Vehicle Localization and Pose Tracking in High-Resolution 3D Maps. 1786-1790 - Johanna Garcia-Cardona, Antonio Ortega, Nereida Rodriguez-Alvarez:
Graph-Based Interpolation for Remote Sensing Data. 1791-1795 - Pascal Weller, Fady Aziz, Sherif Abdulatif, Urs Schneider, Marco F. Huber:
A MIMO Radar-based Few-Shot Learning Approach for Human-ID. 1796-1800 - Bilal Hammoud, Charbel Bou-Mosleh, Jonas Ney, Norbert Wehn:
Artificial Neural Networks-Based Radar Remote Sensing to Estimate Geographical Information during Oil-Spills. 1801-1805 - Binh Minh Nguyen, Ganglin Tian, Minh-Triet Vo, Aurélie Michel, Thomas Corpetti, Carlos Granero-Belinchón:
Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution. 1806-1810 - Costas A. Kokke, Mario Coutiño, Richard Heusdens, Geert Leus, Laura Anitori:
Single-Pulse Estimation of Target Velocity on Planar Arrays. 1811-1815 - Chunxuan Shi, Yongzhe Li, Ran Tao:
Design of Spatial Fast- and Slow-Time Waveforms and Receive Filter for MIMO Radar Space-Time Adaptive Processing. 1816-1820 - Ziyu Zhou, Wei Dai:
Gridless Joint Delay-DoA-Doppler Estimation Using OFDM Signals: A Multilevel Hankel Matrix Approach. 1821-1825 - Congwei Feng, Huawei Chen, Ge Cheng, Yue Ivan Wu:
Design of Frequency-Invariant Beamformers Using a Weighted Spatial-Response-Variance Measure. 1826-1830 - Nitin Jonathan Myers, Yanki Aslan, Geethu Joseph:
Near-field focusing using phased arrays with dynamic polarization control. 1831-1835 - Cem Ates Musluoglu, Marc Moonen, Alexander Bertrand:
Improved Tracking for Distributed Signal Fusion Optimization in a Fully-Connected Wireless Sensor Network. 1836-1840 - Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante:
Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality. 1841-1845 - Subhro Das:
On observability and optimal gain design for distributed linear filtering and prediction. 1846-1850 - Roula Nassif, Stefan Vlaski, Marc Antonini, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Finite Bit Quantization for Decentralized Learning Under Subspace Constraints. 1851-1855 - Anurodh Mishra, Raj Thilak Rajan:
Relative Kinematics Estimation Using Accelerometer Measurements. 1856-1860 - Chaoran Yin, Linjie Yan, Chengpeng Hao, Silvia Liberata Ullo, Danilo Orlando, Chaohuan Hou:
Novel Classification Schemes for Radar Scenarios: Design and Comparison. 1861-1865 - Ruslan Padnevych, David Semedo, David Carmo, João Magalhães:
Improving Face Liveness Detection Robustness with Deep Convolutional Generative Adversarial Networks. 1866-1870 - Manon Mottier, Gilles Chardon, Frédéric Pascal:
RADAR Emitter Classification with Optimal Transport Distances. 1871-1875 - Michael Beyer, Andre Guntoro, Holger Blume:
Fault-tolerant Radar Signal Processing using Selective Observation Windows and Peak Detection. 1876-1880 - Oded Bialer, Amnon Jonas, Oren Longman:
Efficient and Robust Automotive Radar Coherent Integration With Range Migration. 1881-1885 - Madhumitha Sakthi, Ahmed H. Tewfik, Marius Arvinte, Haris Vikalo:
End-to-end system for object detection from sub-sampled radar data. 1886-1890 - Smriti Rani, Soumya Chakravarty, Arijit Chowdhury, Anwesha Khasnobish, Achanna Anil Kumar, Tapas Chakravarty, Arpan Pal:
A Novel Inverse SAR Microwave Imaging Technique using Ultra Wideband Pulsed Radar. 1891-1895 - Xiaohan Zhao, Yongzhe Li, Ran Tao:
Design of Single Unimodular Waveform With Good Correlation Level Via Phase Optimizations. 1896-1900 - Ehsan Raei, Mohammad Alaee-Kerahroodi, Bhavani Shankar:
MIMO Radar Transmit Beampattern Matching Based on Block Successive Upper-bound Minimization. 1901-1905 - Javier Álvarez-Vizoso, Diego Cuevas, Carlos Beltrán, Ignacio Santamaría, Vít Tucek, Gunnar Peters:
Coherence-based Subspace Packings for MIMO Noncoherent Communications. 1906-1910 - Xianxiang Yu, Xue Yao, Hui Qiu, Guolong Cui:
Integrated MIMO Signal Design via Spatio-Spectral Modulation. 1911-1915 - Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng-Hua Tan, Stephan Sigg:
User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars. 1916-1920 - K. Aditi, Achanna Anil Kumar, Angshul Majumdar, Tapas Chakravarty, Kriti Kumar:
Phaseless Passive Synthetic Aperture Imaging with Regularized Wirtinger Flow. 1926-1930 - Steven Wandale, Koichi Ichige:
Flexible Extended Nested Array with Multiple Subarrays Achieving Improved Degrees of Freedom. 1931-1935 - Aifei Liu, Hanjun Guo, Yauhen Arnatovich:
Global MDL Minimization-based Method for Detection of the Number of Sources in Presence of Unknown Nonuniform Noise. 1936-1940 - Erik Tegler, Martin Larsson, Magnus Oskarsson, Kalle Åström:
Sensor node calibration in presence of a dominant reflective plane. 1941-1945 - Hoang M. Le, Dirk T. M. Slock, Jean-Pierre Rossi:
3D DDoA-based Self-Positioning of Mobile Devices. 1946-1950 - Adam Borowicz:
Maximization of L1-norm Using Jacobi Rotations. 1951-1955 - Mahtab Aboufazeli, V. John Mathews:
Blind Source Separation for Surface Electromyograms Using a Bayesian Approach. 1956-1960 - Eleftherios Kofidis, Paris V. Giampouras, Athanasios A. Rontogiannis:
A Projected Newton-type Algorithm for Rank - revealing Nonnegative Block - Term Tensor Decomposition. 1961-1965 - Srinadh Reddy Bhavanam, Sumohana S. Channappayya, P. K. Srijith, Shantanu Desai:
Cosmic Ray Detection in Astronomical Images via Dictionary Learning and Sparse Representation. 1966-1970 - Michael Rawson, Jakob Hultgren:
Optimal Transport for Super Resolution Applied to Astronomy Imaging. 1971-1975 - Athanasios P. Liavas, Ioannis Marios Papagiannakos, Christos Kolomvakis:
Nonnegative Tensor Completion: step-sizes for an accelerated variation of the stochastic gradient descent. 1976-1980 - Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Andréa Guerrero, Yannick Deville:
Decontamination of galaxy spectra using four dispersion directions. 1981-1985 - Saghar Bagheri, Chinthaka Dinesh, Gene Cheung, Timothy Eadie:
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction. 1986-1990 - Emmanuel Martinez, Edwin Vargas, Henry Arguello:
Fast Disparity Estimation from a Single Compressed Light Field Measurement. 1991-1995 - Alvaro Lopez Paredes, Miguel Heredia Conde, Otmar Loffeld:
CS-ToF sensing by means of greedy bi-lateral fusion and near-to-optimal low-density codes. 1996-2000 - Dailys Arronde Pérez, Hubert Zangl:
On the Reconstruction of Multiple Sinusoidal Signals from Compressed Measurements. 2001-2005 - Denis C. Ilie-Ablachim, Bogdan Dumitrescu:
Reduced Kernel Dictionary Learning. 2006-2010 - Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais:
A versatile distributed MCMC algorithm for large scale inverse problems. 2016-2020 - Fernando Llorente, Ernesto Curbelo, Luca Martino, Pablo M. Olmos, David Delgado:
Safe importance sampling based on partial posteriors and neural variational approximations. 2021-2025 - Marija Iloska, Mónica F. Bugallo:
State-Space Partitioning Schemes in Multiple Particle Filtering for Improved Accuracy. 2026-2030 - Pierre Palud, Pierre Chainais, Franck Le Petit, Emeric Bron, Pierre-Antoine Thouvenin, Maxime Vono, L. Einig, M. Garcia Santa-Maria, Mathilde Gaudel, Jan H. Orkisz, Victor de Souza Magalhaes, Sébastien Bardeau, Maryvonne Gerin, Javier R. Goicoechea, Pierre Gratier, Viviana V. Guzmán, Jouni Kainulainen, François Levrier, Nicolas Peretto, Jérome Pety, Antoine Roueff, Albrecht Sievers:
Mixture of noises and sampling of non-log-concave posterior distributions. 2031-2035 - Venkata Pathuri Bhuvana:
Appliance Load Disaggregation based on Bayesian Sequence Estimation using Importance Sampling. 2036-2040 - Kazuki Naganuma, Shunsuke Ono:
Operator-Norm-Based Variable-Wise Diagonal Preconditioning for Automatic Stepsize Selection of A Primal-Dual Splitting Algorithm. 2041-2045 - Reza Mirzaeifard, Naveen K. D. Venkategowda, Vinay Chakravarthi Gogineni, Stefan Werner:
ADMM for Sparse-Penalized Quantile Regression with Non-Convex Penalties. 2046-2050 - Yi Zhang, Isao Yamada:
A Unified Class of DC-type Convexity-Preserving Regularizers for Improved Sparse Regularization. 2051-2055 - Thu-Le Tran, Clément Elvira, Hong Phuong Dang, Cédric Herzet:
Beyond GAP screening for Lasso by exploiting new dual cutting half-spaces. 2056-2060 - Cédric Herzet, Clément Elvira, Hong Phuong Dang:
Region-free Safe Screening Tests for $\ell_{1}$-penalized Convex Problems. 2061-2065 - Milos S. Stankovic, Marko Beko, Srdjan S. Stankovic:
Convergent Distributed Actor-Critic Algorithm Based on Gradient Temporal Difference. 2066-2070 - Kathryn Beck, Mahya Ghandehari:
Frames for Graph Signals on the Symmetric Group: A Representation Theoretic Approach. 2071-2075 - Vedran Mihal, Bastian Seifert, Markus Püschel:
Porting Signal Processing from Undirected to Directed Graphs: Case Study Signal Denoising with Unrolling Networks. 2076-2080 - John Stewart Fabila-Carrasco, Chao Tan, Javier Escudero:
Multivariate permutation entropy, a Cartesian graph product approach. 2081-2085 - Tanuj Hasija, Timothy Marrinan:
A GLRT for estimating the number of correlated components in sample-poor mCCA. 2091-2095 - Sara El Bouch, Olivier J. J. Michel, Pierre Comon:
Multivariate Normality test for colored data. 2096-2100 - Benjamin Traullé, Stéphanie Bidon, Damien Roque:
A von Mises - Fisher prior to Remove Scale Ambiguity in Blind Deconvolution. 2101-2105 - Benjamin D. Robinson, Robert P. Malinas, Van Latimer, Beth Bjorkman Morrison, Alfred O. Hero III:
An Improvement on the Hotelling $T^{2}$ Test Using the Ledoit-Wolf Nonlinear Shrinkage Estimator. 2106-2110 - Tran Trong Duy, Ly Van Nguyen, Viet-Dung Nguyen, Nguyen Linh Trung, Karim Abed-Meraim:
Fisher Information Neural Estimation. 2111-2115 - Lorena Leon, Herwig Wendt, Jean-Yves Tourneret, Patrice Abry:
A Comparison of Bayesian Estimators for the Parameters of the Bivariate Multifractal Spectrum. 2116-2120 - Patrice Abry, Yannick Malevergne, Herwig Wendt, Stéphane Jaffard, Marc Senneret, Laurent Jaffrès:
Foreign Exchange Multivariate Multifractal Analysis. 2121-2125 - Maria Åkesson, Maria Sandsten:
Phase Reassignment with Efficient Estimation of Phase Difference. 2126-2130 - Oliver Orejola, Gustavo Didier, Patrice Abry, Herwig Wendt:
Hurst multimodality detection based on large wavelet random matrices. 2131-2135 - Nils Laurent, Sylvain Meignen:
A New Adaptive Technique for Multicomponent Signals Reassignment Based on Synchrosqueezing Transform. 2136-2140 - Xiang Zhang, Qiao Wang:
Time-Varying Graph Learning Under Structured Temporal Priors. 2141-2145 - Xinjue Wang, Esa Ollila, Sergiy A. Vorobyov:
Graph Neural Network Sensitivity Under Probabilistic Error Model. 2146-2150 - Xiang Zhang, Qiao Wang:
Online Graph Learning In Dynamic Environments. 2151-2155 - Chen Cui, Paolo Banelli, Petar M. Djuric:
Gaussian Processes for Topology Inference of Directed Graphs. 2156-2160 - Sarath Shekkizhar, Antonio Ortega:
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression. 2161-2165 - Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Richard Heusdens, Mads Græsbøll Christensen:
Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization. 2166-2170 - Konstantinos Ntemos, Virginia Bordignon, Stefan Vlaski, Ali H. Sayed:
Social Learning with Disparate Hypotheses. 2171-2175 - Jirí Ajgl, Ondrej Straka:
Linear Fusion under Random Correlation of Estimation Errors. 2176-2180 - Anindya Mondal, Mayukhmali Das, Aditi Chatterjee, Palaniandavar Venkateswaran:
Recovery of Missing Sensor Data by Reconstructing Time-varying Graph Signals. 2181-2185 - Meryem Jabloun:
Empirical mode decomposition revisited using ordinal pattern concepts. 2186-2190 - Yoann Altmann:
On approximate Bayesian methods for large-scale sparse linear inverse problems. 2191-2195 - Hugo Artigas, Barbara Pascal, Gersende Fort, Patrice Abry, Nelly Pustelnik:
Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling. 2196-2200 - Mame Diarra Fall, Nicolas Dobigeon, Pascal Auzou:
A Bayesian Estimation Formulation to Voxel-Based Lesion-Symptom Mapping. 2201-2205 - Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol:
Fast off-the-grid sparse recovery with over-parametrized projected gradient descent. 2206-2210 - Kaihui Liu, Liangtian Wan, Lu Sun:
Fast Quadratic Sensing Via Nonconvex Optimization. 2211-2215 - Kurt Butler, Guanchao Feng, Charles B. Mikell, Sima Mofakham, Petar M. Djuric:
Predicting Latent States of Dynamical Systems With State-Space Reconstruction and Gaussian Processes. 2216-2220 - Sayako Kodera, Florian Römer, Eduardo Pérez, Jan Kirchhof, Fabian Krieg:
Deep Learning Aided Interpolation of Spatio-Temporal Nonstationary Data. 2221-2225 - Shaan ul Haque, Ajit Rajwade, Karthik S. Gurumoorthy:
Joint Probability Estimation U sing Tensor Decomposition and Dictionaries. 2226-2230 - Sinisa Suzic, Darko Pekar, Milan Secujski, Tijana V. Nosek, Vlado Delic:
HiFi-GAN based Text-to-Speech Synthesis in Serbian. 2231-2235 - Masahiro Yukawa, Kyohei Suzuki, Isao Yamada:
Stable Robust Regression under Sparse Outlier and Gaussian Noise. 2236-2240 - Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac:
Robust PCA for Through-the-Wall Radar Imaging. 2246-2250 - Ryszard Stasinski:
SPLIT MULTIPLE RADIX FFT. 2251-2255 - Filip Elvander, Johan Karlsson, Toon van Waterschoot:
Worst-Case Uncertainty Bounds in Covariance Interpolation. 2256-2260 - Xianrui Wang, Jacob Benesty, Gongping Huang, Jingdong Chen:
A Minimum Variance Distortionless Response Spectral Estimator with Kronecker Product Filters. 2261-2265 - Fen Wang, Taihao Li, Ying Du, Yu-Ping Ruan, Gene Cheung:
Fast Sampling for Large-scale Linear Inverse Problems via Enlarging Principle Submatrix. 2266-2270 - Oskar Keding, Maria Sandsten:
Robust Phase Difference Estimation of Transients in High Noise Levels. 2271-2275
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