Ensemble learning for independent component analysis (2000)

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by James W. Miskin
Venue:in Advances in Independent Component Analysis
Citations:49 - 2 self

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219 Independent Factor Analysis – H. Attias - 1999
1 Representation Learning: A Review and New Perspectives – Yoshua Bengio, Aaron Courville, Pascal Vincent - 1206
Extensions of Linear Independent Component Analysis: Neural and Information-Theoretic Methods – Petteri Pajunen
42 Latent Variable Models for Neural Data Analysis – Maneesh Sahani - 1999
2 Probabilistic Models of Early Vision – Patrik O. Hoyer - 2002
20 Low Entropy Coding with Unsupervised Neural Networks – George Francis Harpur
1 Controlled hierarchical filtering: Model of neocortical sensory processing – András Lőrincz, A. Lőrincz - 2003
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46 ICA Using Spacings Estimates of Entropy – Erik G. Learned-miller, John W. Fisher Iii, Te-won Lee, Jean-francois Cardoso, Erkki Oja, Shun-ichi Amari - 2003
1 Independent component analysis with the EM and FFT algorithm. – Nikos Vlassis, Yoichi Motomura - 1999
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260 A Unifying Review of Linear Gaussian Models – Sam Roweis, Zoubin Ghahramani - 1999
The Organisation and Retrieval of Document Collections: A Machine Learning Approach – Alexei Vinokourov - 2003
8 Two-phase computational model training long-term memories in the entorhinal-hippocampal region – András Lörincz, György Buzsáki - 2000
6 Nonlinear Approaches To Independent Component Analysis – Te-won Lee - 1999