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Bibliografie

GA102/09/1278

  1. Vomlel Jiří, Tichavský PetrProbabilistic inference with noisy-threshold models based on a CP tensor decomposition , International Journal of Approximate Reasoning vol.55, 4 (2014), p. 1072-1092 [2014] Download DOI: 10.1016/j.ijar.2013.12.002
  2. Phan A. H., Tichavský Petr, Cichocki A.Low Complexity Damped Gauss-Newton algorithms for CANDECOMP/PARAFAC , SIAM Journal on Matrix Analysis and Applications vol.34, 1 (2013), p. 126-147 [2013] Download DOI: 10.1137/100808034

  1. Vomlel Jiří, Tichavský PetrProbabilistic Inference in BN2T Models by Weighted Model Counting , Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, p. 275-284 , Eds: Jaeger Manfred, Nielsen Thomas Dyhre, Viappiani Paolo, The Scandinavian Conference on Artificial Intelligence (SCAI 2013) /12./, (Aalborg, DK, 20.11.2013-22.11.2013) [2013] Download DOI: 10.3233/978-1-61499-330-8-275
  2. Tichavský Petr, Phan A. H., Cichocki A.A Further Improvement of a Fast Damped Gauss–Newton Algorithm for CANDECOMP-PARAFAC Tensor Decomposition , 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, p. 5964-5968, IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, (Vancouver, CA, 27.05.2013-31.05.2013) [2013] Download DOI: 10.1109/ICASSP.2013.6638809
  3. Phan A. H., Cichocki A., Tichavský Petr, Luta G., Brockmeier A.Tensor Completion Through Multiple Kronecker Product Decomposition , 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, p. 3233-3237, IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, (Vancouver, CA, 27.05.2013-31.05.2013) [2013] Download
  4. Phan A. H., Cichocki A., Tichavský Petr, Zdunek R., Lehky S.From Basis Components to Complex Structural Patterns , 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, p. 3228-3232, IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013, (Vancouver, CA, 27.05.2013-31.05.2013) [2013] Download
  5. Vomlel Jiří, Tichavský PetrComputationally efficient probabilistic inference with noisy threshold models based on a CP tensor decomposition , Proceedings of The Sixth European Workshop on Probabilistic Graphical Models, p. 355-362, The Sixth European Workshop on Probabilistic Graphical Models, (Granada, ES, 19.09.2012-21.09.2012) [2012] Download
  6. Tichavský Petr, Koldovský ZbyněkAlgorithms for nonorthogonal approximate joint block-diagonalization , 20th European Signal Processing Conference (EUSIPCO 2012), p. 2094-2098, 20th European Signal Processing Conference (EUSIPCO 2012), (Bukurešť, RO, 27.08.2012-31.08.2012) [2012] Download
  7. Phan A. H., Tichavský Petr, Cichocki A., Koldovský Z.Low-rank blind nonnegative matrix deconvolution , IEEE International Conference on Acoustics, Speech, and Signal Processing 2012, p. 1893-1896, IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2012, (Kyoto, JP, 25.03.2012-30.03. 2012) [2012] Download DOI: 10.1109/ICASSP.2012.6288273
  8. Tichavský Petr, Yeredor A., Koldovský ZbyněkOn Computation of Approximate Joint Block-Diagonalization Using Ordinary AJD , Latent Variable Analysis and Signal Separation, p. 163-171 , Eds: Theis Fabian, Latent Variable Analysis and Signal Separation,10th International Conference, LVA/ICA 2012, (Tel Aviv, IL, 12.03.2012-15.03.2012) [2012] Download DOI: 10.1007/978-3-642-28551-6_21
  9. Phan A. H., Cichocki A., Tichavský Petr, Mandic D., Matsuoka K.On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach , Latent Variable Analysis and Signal Separation, p. 297-305 , Eds: Theis Fabian, Latent Variable Analysis and Signal Separation,10th International Conference, LVA/ICA 2012, (Tel Aviv, IL, 12.03.2012-15.03.2012) [2012] Download DOI: 10.1007/978-3-642-28551-6_37
  10. Phan A. H., Cichocki A., Tichavský Petr, Koldovský ZbyněkOn Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations , Latent Variable Analysis and Signal Separation, p. 288-296 , Eds: Theis Fabian, Latent Variable Analysis and Signal Separation,10th International Conference, LVA/ICA 2012, (Tel Aviv, IL, 12.03.2012-15.03.2012) [2012] Download DOI: 10.1007/978-3-642-28551-6_36
  11. Hoskovec J., Tichavský PetrExperimental Comparison of Sparse Signal Recovery Algorithms, ÚTIA AVČR, (Praha 2011) Research Report 2306 [2011] Download
  12. Phan A. H., Tichavský Petr, Cichocki A.Damped Gauss-Newton algorithm for nonnegative Tucker Decomposition , 2011 IEEE Statistical Signal Processing Workshop (SSP) Proceedings, p. 669-672, 2011 IEEE Statistical Signal Processing Workshop (SSP), (Nice, FR, 28.06.2011-30.06.2011) [2011] Download
  13. Koldovský Zbyněk, Tichavský Petr, Phan A. H.Stability Analysis and Fast Damped-Gauss-Newton Algorithm for INDSCALTensor Decomposition , 2011 IEEE Statistical Signal Processing Workshop (SSP) Proceedings, p. 581-584, 2011 IEEE Statistical Signal Processing Workshop (SSP), (Nice, FR, 28.06.2011-30.06.2011) [2011] Download
  14. Phan A. H., Tichavský Petr, Cichocki A.Fast damped Gauss-Newton algorithm for sparse and nonnegative tensor factorization , Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011, p. 1988-1991, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2011, (Praha, CZ, 22.05.2011-27.05.2011) [2011] Download
  15. Tichavský Petr, Koldovský ZbyněkStability of CANDECOMP-PARAFAC tensor decomposition , Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 2011, p. 4164-4167, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2011, (Praha, CZ, 22.05.2011-27.05.2011) [2011] Download DOI: 10.1109/ICASSP.2011.5947270
  16. Tichavský Petr, Zima Miroslav, Krajča V.Automatic Removal of Sparse Artifacts in Electroencephalogram , Proceedings of the Third International Conference on Bio-Inspired Systems and Signal Processing, Biosignals 2011, p. 530-535, Biosignals, Int. Conf. on Bio-inspired Systems and Signal Processing, (Rome, IT, 26.02.2011-29.01.2011) [2011] Download DOI: 10.5220/0003276505300535
  17. Koldovský Zbyněk, Tichavský Petr, Málek J.Time-domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure , Lecture Notes in Computer Science, p. 17-24 , Eds: Gavrilova M.L., Kumar V., Mun Y., Tan C.J.K., Gervasi O., Latent Variable Analysis and Signal Separation, (St. Malo, FR, 27.09.2010-30.09.2010) [2010] Download
  18. Koldovský Zbyněk, Tichavský Petr, Málek J.Subband Blind Audio Source Separation Using a Time-Domain Algorithm and Tree-Structured QMF Filter Bank , Lecture Notes in Computer Science, p. 25-32 , Eds: Gavrilova M.L., Kumar V., Mun Y., Tan C.J.K., Gervasi O., Latent Variable Analysis and Signal Separation, (St. Malo, FR, 27.09.2010-30.09.2010) [2010] Download
  19. Málek J., Koldovský Zbyněk, Tichavský PetrAdaptive Time-Domain Blind Separation of Speech Signals , Lecture Notes in Computer Science, p. 9-16 , Eds: Gavrilova M.L., Kumar V., Mun Y., Tan C.J.K., Gervasi O., Latent Variable Analysis and Signal Separation, (St. Malo, FR, 27.09.2010-30.09.2010) [2010] Download
  20. Tichavský Petr, Koldovský ZbyněkSimultanous search for all modes in multilinear models , Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing 2010, p. 4114-4117, 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, (Dallas, TX, US, 14.03.2010-19.03.2010) [2010] Download
  21. Koldovský Zbyněk, Tichavský PetrA Comparison of Independent Component and Independent Subspace Analysis Algorithms , 17th European Signal Processing Conference (EUSIPCO 2009), p. 1447-1451, 17th European Signal Processing Conference (EUSIPCO 2009), (Glasgow, GB, 24.08.2009-28.08.2009) [2009] Download
  22. Zima Miroslav, Tichavský Petr, Krajča V.Odstraňování artefaktů v EEG datech III, ÚTIA AV ČR, ( Praha 2009) Research Report 2259 [2009] Download
07.01.2019 - 08:39