default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRafal Zdunek
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j29]Mateusz Gabor
, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska:
Bearing Damage Detection With Orthogonal and Nonnegative Low-Rank Feature Extraction. IEEE Trans. Ind. Informatics 20(2): 2944-2955 (2024)- [i2]Mateusz Gabor, Rafal Zdunek:
Reduced storage direct tensor ring decomposition for convolutional neural networks compression. CoRR abs/2405.10802 (2024) - 2023
- [j28]Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Rafal Zdunek:
Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization. Appl. Math. Comput. 457: 128184 (2023) - [j27]Mateusz Gabor, Rafal Zdunek:
Compressing convolutional neural networks with hierarchical Tucker-2 decomposition. Appl. Soft Comput. 132: 109856 (2023) - [c54]Rafal Zdunek:
Tensor Train Subspace Analysis for Classification of Hand Gestures with Surface EMG Signals. ICCS (2) 2023: 662-669 - [c53]Mateusz Gabor, Rafal Zdunek, Radoslaw Zimroz, Agnieszka Wylomanska:
Non-Negative Matrix Underapproximation as Optimal Frequency Band Selector. IECON 2023: 1-6 - 2022
- [j26]Rafal Zdunek, Krzysztof Fonal:
Incremental Nonnegative Tucker Decomposition with Block-Coordinate Descent and Recursive Approaches. Symmetry 14(1): 113 (2022) - [c52]Mateusz Gabor, Rafal Zdunek:
Convolutional Neural Network Compression via Tensor-Train Decomposition on Permuted Weight Tensor with Automatic Rank Determination. ICCS (3) 2022: 654-667 - [c51]Rafal Zdunek, Mateusz Gabor:
Nested compression of convolutional neural networks with Tucker-2 decomposition. IJCNN 2022: 1-8 - [c50]Rafal Zdunek:
Hybrid texture synthesis and interpolated structure image completion. KES 2022: 2464-2473 - [i1]Nicoletta Del Buono, Flavia Esposito, Laura Selicato, Rafal Zdunek:
Bi-level Optimization for hyperparameters in Nonnegative Matrix Factorizations. CoRR abs/2203.13129 (2022) - 2021
- [j25]Krzysztof Fonal, Rafal Zdunek:
Fast hierarchical tucker decomposition with single-mode preservation and tensor subspace analysis for feature extraction from augmented multimodal data. Neurocomputing 445: 231-243 (2021) - [j24]Rafal Zdunek, Andrzej Grobelny, Jerzy Witkowski, Radoslaw Igor Gnot:
On-Off Scheduling for Electric Vehicle Charging in Two-Links Charging Stations Using Binary Optimization Approaches. Sensors 21(21): 7149 (2021) - [j23]Rafal Zdunek, Tomasz Sadowski:
Image completion with approximate convex hull tensor decomposition. Signal Process. Image Commun. 95: 116276 (2021) - 2020
- [j22]Michal Wójcik, Pia Brinkmann, Rafal Zdunek, Daniel Riebe, Toralf Beitz, Sven Merk, Katarzyna Cieslik, David Mory, Arkadiusz Antonczak:
Classification of Copper Minerals by Handheld Laser-Induced Breakdown Spectroscopy and Nonnegative Tensor Factorisation. Sensors 20(18): 5152 (2020) - [c49]Rafal Zdunek, Krzysztof Fonal:
Trust-Region Strategy with Cauchy Point for Nonnegative Tensor Factorization with Beta-Divergence. KES-IDT 2020: 315-325
2010 – 2019
- 2019
- [j21]Rafal Zdunek, Tomasz Sadowski:
Segmented convex-hull algorithms for near-separable NMF and NTF. Neurocomputing 331: 150-164 (2019) - [j20]Maciej Roman Nowak, Rafal Zdunek, Edward Plinski, Piotr Swiatek, Malgorzata Strzelecka, Wieslaw Malinka, Stanislawa Plinska:
Recognition of Pharmacological Bi-Heterocyclic Compounds by Using Terahertz Time Domain Spectroscopy and Chemometrics. Sensors 19(15): 3349 (2019) - [j19]Rafal Zdunek, Krzysztof Fonal, Andrzej Wolczowski:
Linked CP tensor decomposition algorithms for shared and individual feature extraction. Signal Process. Image Commun. 73: 37-52 (2019) - [j18]Krzysztof Fonal, Rafal Zdunek:
Fast Recursive Nonnegative Standard and Hierarchical Tucker Decomposition. IEEE Signal Process. Lett. 26(9): 1265-1269 (2019) - [c48]Rafal Zdunek, Krzysztof Fonal:
Nonnegatively Constrained Tensor Network for Classification Problems. ICUFN 2019: 218-223 - [c47]Krzysztof Fonal, Rafal Zdunek:
Distributed and Randomized Tensor Train Decomposition for Feature Extraction. IJCNN 2019: 1-8 - [c46]Rafal Zdunek, Krzysztof Fonal, Tomasz Sadowski:
Image Completion with Filtered Low-Rank Tensor Train Approximations. IWANN (2) 2019: 235-245 - [c45]Tomasz Sadowski, Rafal Zdunek:
Image Completion with Filtered Alternating Least Squares Tucker Decomposition. SPA 2019: 241-245 - 2018
- [j17]Rafal Zdunek, Krzysztof Fonal:
Distributed geometric nonnegative matrix factorization and hierarchical alternating least squares-based nonnegative tensor factorization with the MapReduce paradigm. Concurr. Comput. Pract. Exp. 30(17) (2018) - [c44]Tomasz Sadowski, Rafal Zdunek:
Image Completion with Nonnegative Matrix Factorization Under Separability Assumption. LVA/ICA 2018: 116-126 - [c43]Tomasz Sadowski, Rafal Zdunek:
Image Completion with Smooth Nonnegative Matrix Factorization. ICAISC (2) 2018: 62-72 - [c42]Krzysztof Fonal, Rafal Zdunek:
Distributed Nonnegative Matrix Factorization with HALS Algorithm on Apache Spark. ICAISC (2) 2018: 333-342 - [c41]Krzysztof Fonal, Rafal Zdunek, Andrzej Wolczowski:
Feature-Fusion HALS-based Algorithm for Linked CP Decomposition Model in Application to Joint EMG/MMG Signal Classification. ICPR 2018: 928-933 - [c40]Rafal Zdunek, Krzysztof Fonal:
Randomized Nonnegative Tensor Factorization for Feature Extraction from High-dimensional Signals. IWSSIP 2018: 1-5 - 2017
- [c39]Rafal Zdunek, Krzysztof Fonal:
Distributed Nonnegative Matrix Factorization with HALS Algorithm on MapReduce. ICA3PP 2017: 211-222 - [c38]Tomasz Sadowski, Rafal Zdunek:
Modified HALS Algorithm for Image Completion and Recommendation System. ISAT (2) 2017: 17-27 - [c37]Rafal Zdunek, Tomasz Sadowski:
XRAY Algorithm for Separable Nonnegative Tensor Factorization. IWANN (2) 2017: 246-256 - 2016
- [c36]Rafal Zdunek, Michalina Kotyla:
Extraction of Dynamic Nonnegative Features from Multidimensional Nonstationary Signals. DMBD 2016: 557-566 - [c35]Szymon Drgas, Rafal Zdunek:
Automatic tuning of hyperparameters for NMF-based face recognition system. SPA 2016: 40-44 - 2015
- [j16]Tatsuya Yokota, Rafal Zdunek, Andrzej Cichocki, Yukihiko Yamashita:
Smooth nonnegative matrix and tensor factorizations for robust multi-way data analysis. Signal Process. 113: 234-249 (2015) - [c34]Rafal Zdunek:
Convex Nonnegative Matrix Factorization with Rank-1 Update for Clustering. ICAISC 2015: 59-68 - 2014
- [j15]Rafal Zdunek:
Regularized nonnegative matrix factorization: Geometrical interpretation and application to spectral unmixing. Int. J. Appl. Math. Comput. Sci. 24(2): 233-247 (2014) - [c33]Rafal Zdunek, Andrzej Cichocki, Tatsuya Yokota:
B-Spline Smoothing of Feature Vectors in Nonnegative Matrix Factorization. ICAISC (2) 2014: 72-81 - [c32]Rafal Zdunek:
Row-Action Projections for Nonnegative Matrix Factorization. ICANN 2014: 299-306 - [c31]Rafal Zdunek:
Alternating direction method for approximating smooth feature vectors in Nonnegative Matrix Factorization. MLSP 2014: 1-6 - 2013
- [j14]Rafal Zdunek:
Improved Convolutive and Under-Determined Blind Audio Source Separation with MRF Smoothing. Cogn. Comput. 5(4): 493-503 (2013) - [c30]Rafal Zdunek, Anh Huy Phan, Andrzej Cichocki:
GNMF with Newton-Based Methods. ICANN 2013: 90-97 - [c29]Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Rafal Zdunek, Sidney R. Lehky:
From basis components to complex structural patterns. ICASSP 2013: 3228-3232 - 2012
- [c28]Rafal Zdunek:
Trust-Region Algorithm for Nonnegative Matrix Factorization with Alpha- and Beta-divergences. DAGM/OAGM Symposium 2012: 226-235 - [c27]Rafal Zdunek, Zhaoshui He:
Nesterov's Iterations for NMF-Based Supervised Classification of Texture Patterns. LVA/ICA 2012: 478-485 - [c26]Rafal Zdunek:
Initialization of Nonnegative Matrix Factorization with Vertices of Convex Polytope. ICAISC (1) 2012: 448-455 - [c25]Rafal Zdunek:
Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization. ICANN (1) 2012: 65-72 - [c24]Rafal Zdunek:
Approximation of Feature Vectors in Nonnegative Matrix Factorization with Gaussian Radial Basis Functions. ICONIP (1) 2012: 616-623 - 2011
- [j13]Zhaoshui He, Shengli Xie, Rafal Zdunek, Guoxu Zhou, Andrzej Cichocki:
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering. IEEE Trans. Neural Networks 22(12): 2117-2131 (2011) - [c23]Rafal Zdunek:
Uni-orthogonal Nonnegative Tucker Decomposition for Supervised Image Classification. ICIAP (1) 2011: 88-97 - [c22]Rafal Zdunek:
Regularized Active Set Least Squares Algorithm for Nonnegative Matrix Factorization in Application to Raman Spectra Separation. IWANN (2) 2011: 492-499 - [c21]Rafal Zdunek:
Convolutive Nonnegative Matrix Factorization with Markov Random Field Smoothing for Blind Unmixing of Multichannel Speech Recordings. NOLISP 2011: 25-32 - [p1]Rafal Zdunek:
Regularized NNLS Algorithms for Nonnegative Matrix Factorization with Application to Text Document Clustering. Computer Recognition Systems 4 2011: 757-766 - 2010
- [j12]Rafal Zdunek, Anh Huy Phan, Andrzej Cichocki:
Damped Newton Iterations for Nonnegative Matrix Factorization. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [c20]Rafal Zdunek, Andrzej Cichocki:
Sequential Coordinate-Wise DNMF for Face Recognition. ICAISC (1) 2010: 563-570 - [c19]Rafal Zdunek, Tomasz Ignor:
UMTS Base Station Location Planning with Invasive Weed Optimization. ICAISC (2) 2010: 698-705 - [c18]Anh Huy Phan, Andrzej Cichocki, Rafal Zdunek, Thanh Vu Dinh:
Novel Alternating Least Squares Algorithm for Nonnegative Matrix and Tensor Factorizations. ICONIP (1) 2010: 262-269
2000 – 2009
- 2009
- [b1]Andrzej Cichocki, Rafal Zdunek, Anh Huy Phan, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. Wiley 2009, ISBN 978-0-470-74666-0 - [j11]Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Shengli Xie:
Improved FOCUSS Method With Conjugate Gradient Iterations. IEEE Trans. Signal Process. 57(1): 399-404 (2009) - 2008
- [j10]Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek:
Advances in Nonnegative Matrix and Tensor Factorization. Comput. Intell. Neurosci. 2008 (2008) - [j9]Rafal Zdunek, Andrzej Cichocki:
Fast Nonnegative Matrix Factorization Algorithms Using Projected Gradient Approaches for Large-Scale Problems. Comput. Intell. Neurosci. 2008 (2008) - [j8]Rafal Zdunek, Andrzej Cichocki:
Nonnegative matrix factorization with quadratic programming. Neurocomputing 71(10-12): 2309-2320 (2008) - [j7]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Nonnegative Matrix and Tensor Factorization [Lecture Notes]. IEEE Signal Process. Mag. 25(1): 142-145 (2008) - [j6]Rafal Zdunek:
On image reconstruction algorithms for binary electromagnetic geotomography. Theor. Comput. Sci. 406(1-2): 160-170 (2008) - [j5]Rafal Zdunek, Andrzej Cichocki:
Improved M-FOCUSS Algorithm With Overlapping Blocks for Locally Smooth Sparse Signals. IEEE Trans. Signal Process. 56(10-1): 4752-4761 (2008) - [c17]Rafal Zdunek:
Data Clustering with Semi-binary Nonnegative Matrix Factorization. ICAISC 2008: 705-716 - [c16]Rafal Zdunek, Tomasz M. Rutkowski:
Nonnegative Tensor Factorization with Smoothness Constraints. ICIC (1) 2008: 300-307 - [c15]Rafal Zdunek, Zhaoshui He, Andrzej Cichocki:
Tomographic image reconstruction from limited-view projections with Wiener filtered focuss algorithm. ISBI 2008: 768-771 - [c14]Zhaoshui He, Andrzej Cichocki, Rafal Zdunek, Jianting Cao:
CG-M-FOCUSS and Its Application to Distributed Compressed Sensing. ISNN (1) 2008: 237-245 - 2007
- [j4]Andrzej Cichocki, Rafal Zdunek:
Multilayer Nonnegative Matrix Factorization Using Projected Gradient Approaches. Int. J. Neural Syst. 17(6): 431-446 (2007) - [j3]Rafal Zdunek, Andrzej Cichocki:
Nonnegative matrix factorization with constrained second-order optimization. Signal Process. 87(8): 1904-1916 (2007) - [c13]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. ICA 2007: 169-176 - [c12]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) 2007: 271-280 - [c11]Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari:
Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) 2007: 1393-1396 - [c10]Rafal Zdunek, Andrzej Cichocki:
Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing. ICONIP (2) 2007: 519-528 - [c9]Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Shun-ichi Amari:
Sparse Super Symmetric Tensor Factorization. ICONIP (1) 2007: 781-790 - [c8]Andrzej Cichocki, Anh Huy Phan, Rafal Zdunek, Liqing Zhang:
Flexible Component Analysis for Sparse, Smooth, Nonnegative Coding or Representation. ICONIP (1) 2007: 811-820 - [c7]Andrzej Cichocki, Rafal Zdunek:
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization. ISNN (3) 2007: 793-802 - 2006
- [c6]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms. ICA 2006: 32-39 - [c5]Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, Raul Kompass, Gen Hori, Zhaoshui He:
Extended SMART Algorithms for Non-negative Matrix Factorization . ICAISC 2006: 548-562 - [c4]Rafal Zdunek, Andrzej Cichocki:
Non-negative Matrix Factorization with Quasi-Newton Optimization. ICAISC 2006: 870-879 - [c3]Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari:
New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation. ICASSP (5) 2006: 621-624 - [c2]Rafal Zdunek, Maciej J. Nawrocki:
Improved Modeling of Highly Loaded UMTS Network with Nonnegative Constraints. PIMRC 2006: 1-5 - 2005
- [j2]Rafal Zdunek, Andrzej Pralat:
Detection of Subsurface Bubbles with Discrete Electromagnetic Geotomography. Electron. Notes Discret. Math. 20: 535-553 (2005) - [c1]Rafal Zdunek, Maciej J. Nawrocki, Mischa Dohler, Hamid Aghvami:
Application of linear solvers to UMTS network optimization without and with smart antennas. PIMRC 2005: 2322-2326 - 2004
- [j1]Constantin Popa, Rafal Zdunek:
Kaczmarz extended algorithm for tomographic image reconstruction from limited-data. Math. Comput. Simul. 65(6): 579-598 (2004)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
