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Bibliografie

GA17-00902S

  1. Kautský V., Tichavský Petr, Koldovský Z., Adali T. :  Performance Bounds for Complex-Valued Independent Vector Analysis , IEEE Transactions on Signal Processing vol.68, 1 (2020), p. 4258-4267 [2020] Download Download DOI: 10.1109/TSP.2020.3009507
  2. Phan A. H., Cichocki A., Uschmajew A., Tichavský Petr, Luta G. :  Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation , IEEE Transactions on Neural Networks and Learning Systems vol.31, 11 (2020), p. 4622-4636 [2020] Download Download DOI: 10.1109/TNNLS.2019.2956926
  3. Tichavský Petr, Phan A. H., Cichocki A. :  Sensitivity in tensor decomposition , IEEE Signal Processing Letters vol.26, 11 (2019), p. 1653-1657 [2019] Download Download DOI: 10.1109/LSP.2019.2943060
  4. Phan A. H., Tichavský Petr, Cichocki A. :  Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound , IEEE Transactions on Signal Processing vol.67, 5 (2019), p. 1175-1190 [2019] Download Download DOI: 10.1109/TSP.2018.2887192
  5. Koldovský Z., Tichavský Petr :  Gradient Algorithms for Complex Non-Gaussian Independent Component/Vector Extraction, Question of Convergence , IEEE Transactions on Signal Processing vol.67, 4 (2019), p. 1050-1064 [2019] Download Download DOI: 10.1109/TSP.2018.2887185
  6. Tichavský Petr, Phan A. H., Cichocki A. :  Non-orthogonal tensor diagonalization , Signal Processing vol.138, 1 (2017), p. 313-320 [2017] Download DOI: 10.1016/j.sigpro.2017.04.001

  1. Tichavský Petr, Phan A. H., Cichocki A. :  Weighted Krylov-Levenberg-Marquardt method for canonical polyadic tensor decomposition , 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2020, p. 3917-3921, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2020, (Barcelona, ES, 20200504) [2020] Download DOI: 10.1109/ICASSP40776.2020.9054312
  2. Kautský Václav, Koldovský Z., Tichavský Petr :  Performance bound for blind extraction of non-Gaussian complex-valued vector component from Gaussian background , 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2019, p. 5287-5291, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2019, (Brighton, GB, 20190512) [2019] Download DOI: 10.1109/ICASSP.2019.8683885
  3. Tichavský Petr, Vomlel Jiří :  Representations of Bayesian Networks by Low-Rank Models , Proceedings of Machine Learning Research, p. 463-472 , Eds: Kratochvíl Václav, Studený Milan, International Conference on Probabilistic Graphical Models, (Praha, CZ, 20180911) [2018] Download
  4. Koldovský Z., Tichavský Petr, Ono N. :  Orthogonally-Constrained Extraction of Independent Non-Gaussian Component from Non-Gaussian Background Without ICA , Latent Variable Analysis and Signal Separation, p. 161-170 , Eds: Deville Yannick, Gannot Sharon, Mason Russell, Plumbley Mark D., Ward Dominic, Latent Variable Analysis and Signal Separation, (Guilford, GB, 20180702) [2018] Download DOI: 10.1007/978-3-319-93764-9_16
  5. Tichavský Petr, Phan A. H., Cichocki A. :  Under-Determined Tensor Diagonalization for Decomposition of Difficult Tensors , IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 , p. 263-266, CAMSAP 2017 - 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, (Curacao, NL, 20171210) [2017] Download DOI: 10.1109/CAMSAP.2017.8313082
  6. Kautský V., Koldovský Z., Tichavský Petr :  Cramer-Rao-Induced Bound for Interference-to-Signal Ratio Achievable through Non-Gaussian Independent Component Extraction , IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) 2017 , p. 94-97, CAMSAP 2017 - 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, (Curacao, NL, 20171210) [2017] Download DOI: 10.1109/CAMSAP.2017.8313097
  7. Koldovský Z., Tichavský Petr, Kautský V. :  Orthogonally constrained independent component extraction: Blind MPDR beamforming , Proceedings of the 25th European Signal Processing Conference (EUSIPCO 2017), p. 1195-1199, EUSIPCO 2017 - 25th European Signal Processing Conference, (Kos, GR, 20170828) [2017] Download DOI: 10.23919/EUSIPCO.2017.8081389
  8. Šembera Ondřej, Tichavský Petr, Koldovský Z. :  Adaptive Blind Separation of Instantaneous Linear Mixtures of Independent Sources , Latent Variable Analysis and Signal Separation, 13th International Conference, LVA/ICA 2017, p. 172-181 , Eds: Tichavský Petr, Babaie-Zadeh Massoud, Michel Olivier J.J., Thirion-Moreau Nadege, Latent Variable Analysis and Signal Separation, (Grenoble, FR, 20170221) [2017] Download DOI: 10.1007/978-3-319-53547-0
  9. Phan A. H., Tichavský Petr, Cichocki A. :  Blind Source Separation of Single Channel Mixture Using Tensorization and Tensor Diagonalization , Latent Variable Analysis and Signal Separation, 13th International Conference, LVA/ICA 2017, p. 36-46 , Eds: Tichavský Petr, Babaie-Zadeh Massoud, Michel Olivier J.J., Thirion-Moreau Nadege, Latent Variable Analysis and Signal Separation, (Grenoble, FR, 20170221) [2017] Download DOI: 10.1007/978-3-319-53547-0
  10. Phan A. H., Tichavský Petr, Cichocki A. :  Partitioned Hierarchical Alternating Least Squares Algorithm for CP Tensor Decomposition , 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2017, p. 2542-2546, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2017, (New Orleans, US, 20170305) [2017] Download DOI: 10.13140/RG.2.2.29610.82882