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94
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CVPR
1999
IEEE
16 years 4 months ago
Separating Reflections and Lighting Using Independent Components Analysis
The image of an object can vary dramatically depending on lighting, specularities/reflections and shadows. It is often advantageous to separate these incidental variations from th...
Hany Farid, Edward H. Adelson
219
Voted
NECO
2011
14 years 9 months ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
IJCNN
2007
IEEE
15 years 8 months ago
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...
Jaakko J. Väyrynen, Lasse Lindqvist, Timo Hon...
ICPR
2004
IEEE
16 years 3 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ICA
2007
Springer
15 years 8 months ago
Subspaces of Spatially Varying Independent Components in fMRI
Abstract. In contrast to the traditional hypothesis-driven methods, independent component analysis (ICA) is commonly used in functional magnetic resonance imaging (fMRI) studies to...
Jarkko Ylipaavalniemi, Ricardo Vigário