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ORCID27th ICPR 2024: Kolkata, India - Part I
- Apostolos Antonacopoulos
, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15301, Springer 2025, ISBN 978-3-031-78106-3 - Zongyao Lyu, William J. Beksi:
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling. 1-16 - Yuxian Zhou, Xiaodong Yue, Yufei Chen, Shaorong Xie:
Deep Evidential Active Learning with Uncertainty-Aware Determinantal Point Process. 17-32 - Ankita Singh, Shayok Chakraborty:
Knowledge Distillation in Deep Networks Under a Constrained Query Budget. 33-48 - Vishvajeet Upadhyay, Angshuman Paul:
Adabot: An Adaptive Trading Bot Using an Ensemble of Phase-Specific Few-Shot Learners to Adapt to the Changing Market Dynamics. 49-66 - Hoang-Hiep Trinh:
Uncertainty in Ambiguity of Data. 67-83 - Amir Hossein Rahmati, Mingzhou Fan, Ruida Zhou, Nathan M. Urban, Byung-Jun Yoon, Xiaoning Qian:
When Uncertainty-Based Active Learning May Fail? 84-100 - Ratnabali Pal, Samarjit Kar, Arif Ahmed Sekh:
Customizable and Programmable Deep Learning. 101-116 - Sriram Mandalika, Athira Nambiar:
SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios. 117-134 - Rui Yuan, Chun Yuan:
AMC-OA: Adaptive Multi-Scale Convolutional Networks with Optimized Attention for Temporal Action Localization. 135-150 - Prakrit Pathak, Prashant Singh Rana:
Comparative Analysis of Pretrained Models for Text Classification, Generation and Summarization: A Detailed Analysis. 151-166 - Hima Varshini Surisetty, Sarayu Varma Gottimukkala, Priyanka Prabhakar, Peeta Basa Pati:
Predicting Judgement Outcomes from Legal Case File Summaries with Explainable Approach. 167-183 - Yashwant Pravinrao Bangde, Naveen Saini:
Multi-view Ensemble Clustering-Based Podcast Recommendation in Indian Regional Setting. 184-200 - Tilak Sharma, Nalini K. Ratha, Charanjit Jutla:
Privacy-Preserving Ensemble Learning Using Fully Homomorphic Encryption. 201-214 - Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. Aakur:
Capturing Temporal Components for Time Series Classification. 215-230 - Reza Khoshkangini, Mohsen Tajgardan, Mahtab Jamali, Martin Georg Ljungqvist, Radu-Casian Mihailescu, Paul Davidsson:
Hierarchical Transfer Multi-task Learning Approach for Scene Classification. 231-248 - Jian Zhu, Yuping Ruan, Jingfei Chang, Wenhui Sun, Hui Wan, Jian Long, Cheng Luo:
Deep Prompt Multi-task Network for Abuse Language Detection. 249-263 - Ashwin Vaswani, Yashas Samaga, Gaurav Aggarwal, Praneeth Netrapalli, Narayan G. Hegde:
All Mistakes are not Equal: Comprehensive Hierarchy Aware Multilabel Predictions (CHAMP). 264-282 - Ravi Kant Gupta, Shounak Das, Amit Sethi:
IDAL: Improved Domain Adaptive Learning for Natural Images Dataset. 283-297 - Peng He, Mohamed Hussein, Wael Abd-Almageed:
Large Multimodal Models Thrive with Little Data for Image Emotion Prediction. 298-313 - Liqun Zhong, Kaijie Zhu, Ge Yang:
Flatter Minima of Loss Landscapes Correspond with Strong Corruption Robustness. 314-328 - Akshay Agarwal, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
Restoring Noisy Images Using Dual-Tail Encoder-Decoder Signal Separation Network. 329-345 - Alexander Barnhill, Jared R. Towers, Elmar Nöth, Andreas Maier, Christian Bergler:
Utilizing Deep Incomplete Classifiers to Implement Semantic Clustering for Killer Whale Photo Identification Data. 346-361 - Xinying Lu, Jianli Xiao:
FPMT: Enhanced Semi-supervised Model for Traffic Incident Detection. 362-374 - Nour Shaheen, Tamer Elsharnouby, Marwan Torki:
C2F-CHART: A Curriculum Learning Approach to Chart Classification. 375-391 - Xiaolong Zheng, Jianming Wang, Zhitao Xiao, Yukuan Sun:
Vision DualGNN: Semantic Graph Is Not Only You Need. 392-404 - Jian Hou, Juntao Ge, Huaqiang Yuan, Marcello Pelillo:
Enhancing Graph-Based Clustering with the Regularity Lemma. 405-420 - Jayasree Saha, Jayanta Mukhopadhyay:
IPD: Scalable Clustering with Incremental Prototypes. 421-441 - Yongyu Wang, Xiaotian Zhuang:
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation. 442-452 - Reshma Rastogi, Mamta Bhattarai Lamsal:
Adaptive Graph-Based Manifold Learning for Gene Selection. 453-468
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