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Rafal Zdunek
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Publications
- 2022
- [j26]Rafal Zdunek, Krzysztof Fonal:
Incremental Nonnegative Tucker Decomposition with Block-Coordinate Descent and Recursive Approaches. Symmetry 14(1): 113 (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
- [c49]Rafal Zdunek, Krzysztof Fonal:
Trust-Region Strategy with Cauchy Point for Nonnegative Tensor Factorization with Beta-Divergence. KES-IDT 2020: 315-325 - 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
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