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Abstract: Using statistical models one can estimate features from natural images, such as images that we see in everyday life. Such models can also be used in computional visual neuroscience by relating the estimated features to the response properties of neurons in the brain. A seminal model for natural images was linear sparse coding which, in fact, turned out to be equivalent to ICA. In these linear generative models, the columns of the mixing matrix give the basis vectors (features) that are adapted... (Update)
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BibTeX entry: (Update)
@misc{ hyvarinen-extensions,
author = "Aapo Hyvärinen and Patrik O. Hoyer and Jarmo Hurri",
title = "Extensions of {ICA} as Models of Natural Images and Visual Processing",
url = "citeseer.ist.psu.edu/694599.html" }
Citations (may not include all citations):1213 Self-Organizing Maps (context) - Kohonen - 1995
246 Independent Component Analysis (context) - Hyvarinen, Karhunen et al. - 2001
207 Emergence of simplecell receptive field properties by learni.. (context) - Olshausen, Field - 1996
162 What is the goal of sensory coding (context) - Field - 1994
60 A neural net for blind separation of nonstationary signals (context) - Matsuoka, Ohya et al. - 1995
42 Independent component filters of natural images compared wit.. - van Hateren, van der Schaaf - 1998
36 Vision Science -- Photons to Phenomenology (context) - Palmer - 1999
35 Blind separation of instantaneous mixtures of non-stationary.. - Pham, Cardoso
28 Multidimensional independent component analysis - Cardoso - 1998
27 Natural image statistics and neural representation (context) - Simoncelli, Olshausen - 2001
18 Learning invariance from transformation sequences (context) - Foldiak - 1991
16 Slow feature analysis: Unsupervised learning of invariances (context) - Wiskott, Sejnowski - 2002
12 A multi-layer sparse coding network learns contour coding fr.. - Hoyer, Hyvarinen - 2002
11 Topographic independent component analysis (context) - Hyvarinen, Hoyer et al. - 2001
11 Extracting slow subspaces from natural videos leads to compl.. - Kayser, Einhauser et al.
[Article contains additional citations not shown here]
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