Advances in Independent Component Analysis
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The authors wish to thank Xavier Giannakopoulos, M.Sc., for his help with the simulations with the non-linear independent factor analysis and Esa Alhoniemi, ...
Independent Component Analysis - Page xxi - Google Books result
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Section is based on joint work with Ella Bingham, Section on joint work with Xavier Giannakopoulos, and Section on joint work with Patrik ...
Online Independent Component Analysis with Local Learning Rate ...
cognet2.mit.edu
Nicol N. Schraudolph and Xavier Giannakopoulos. Abstract: Stochastic ...
Independent Component Analysis - Aapo Hyvärinen, Juha Karhunen, Erkki...
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with Xavier Giannakopoulos, and Section on joint work with Patrik Hoyer ...
CiteSeerX — Nonlinear Independent Component Analysis Using ...citeseerx.ist.psu.edu › viewdoc › summary
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by H Lappalainen · · Cited by 15 — author = {Harri Lappalainen and Xavier Giannakopoulos and Antti Honkela and Juha Karhunen}, title = {Nonlinear Independent Component Analysis Using Ensemble ...
Independent Component Analysis - IME-USPwww.ime.usp.br › ~jstern › miscellanea › seminario › Hyvarinen01
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work with Ella Bingham, Section on joint work with Xavier Giannakopoulos, and Section on joint work with Patrik Hoyer and Mika Inki.
Online Independent Component Analysis With Local Learning Rate ...cnl.salk.edu › ~schraudo › pubs › SchGia00
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by NN Schraudolph · Cited by 29 — Xavier Giannakopoulos . IDSIA, Corso Elvezia Lugano, Switzerland http://www.idsia.ch/. Abstract.
Online Independent Component Analysis with Local NIPS papersproceedings.neurips.cc › paper › hash
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by N Schraudolph · · Cited by 29 — Authors. Nicol Schraudolph, Xavier Giannakopoulos. Abstract. Stochastic meta-descent (SMD) is a new technique for online adap(cid:173) tation of local ...
Juha Karhunen - dblpdblp.uni-trier.de › Persons
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25 Aug — Xavier Giannakopoulos, Juha Karhunen, Erkki Oja: An Experimental Comparison of Neural Algorithms for Independent Component Analysis and ...
DBLP - Xavier Giannakopoulos
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Nicol N. Schraudolph, Xavier Giannakopoulos : Online Independent Component Analysis with Local Learning Rate Adaptation. NIPS · Read article - Cited ...
DBLP - Xavier Giannakopoulos - Erkki Oja
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Xavier Giannakopoulos, Juha Karhunen, Erkki Oja : An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind ...
Comparison of Adaptive Independent Component Analysis Algorithms -...
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By Xavier Giannakopoulos. Abstract. Independent Component Analysis (ICA) is a recent method for data analysis, based on statistical properties of multidimensional …
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Frequency Domain Independent Component Analysis Applied To ...stars.library.ucf.edu › cgi › viewcontent
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by Y Liu · · Cited by 3 — Xavier Giannakopoulos, Juha Karhunen, and Erkki Oja, “An Experimental. Comparison of Neural Algorithm for Independent Component Analysis and.
Neural Information Processing Systems 1999www.sigmod.org › publications › dblp › conf › nips › nips1999
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Electronic Edition (link) BibTeX · Nicol N. Schraudolph, Xavier Giannakopoulos: Online Independent Component Analysis with Local Learning Rate Adaptation.
Statlog (Landsat Satellite) | Physical Systems Datasetmldta.com › dataset › statlog-landsat-satellite
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[link]; Xavier Giannakopoulos and Juha Karhunen and Erkki Oja. An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind ...
CiteSeerX — Nonlinear Independent Component Analysis Using Ensemble...
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BibTeX @MISC{Lappalainen00nonlinearindependent, author = {Harri Lappalainen and Xavier Giannakopoulos and Antti Honkela and Juha Karhunen}, title = {Nonlinear
Nonlinear Independent Component Analysis Using Ensemble Learning:...
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Nonlinear Independent Component Analysis Using Ensemble Learning: Experiments and Discussion
CiteSeerX — Citation Query iComparison of adaptive independent...
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CiteSeerX - Scientific documents that cite the following paper: iComparison of adaptive independent component analysis algorithms,j Dipl.Eng thesis made for...
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Xavier Giannakopoulos and Juha Karhunen and Erkki Oja. An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation.
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