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» Sparse non-Gaussian component analysis
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92
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NIPS
2001
15 years 1 months ago
TAP Gibbs Free Energy, Belief Propagation and Sparsity
The adaptive TAP Gibbs free energy for a general densely connected probabilistic model with quadratic interactions and arbritary single site constraints is derived. We show how a ...
Lehel Csató, Manfred Opper, Ole Winther
136
Voted
SIAMIS
2010
156views more  SIAMIS 2010»
14 years 7 months ago
Learning the Morphological Diversity
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...
Gabriel Peyré, Jalal Fadili, Jean-Luc Starc...
78
Voted
MICAI
2007
Springer
15 years 6 months ago
Auditory Cortical Representations of Speech Signals for Phoneme Classification
The use of biologically inspired, feature extraction methods has improved the performance of artificial systems that try to emulate some aspect of human communication. Recent tech...
Hugo Leonardo Rufiner, César E. Martí...
100
Voted
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 16 days ago
Robust Matrix Decomposition with Outliers
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
Daniel Hsu, Sham M. Kakade, Tong Zhang
128
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BMCBI
2011
14 years 7 months ago
Multivariate analysis of microarray data: differential expression and differential connection
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
Harri T. Kiiveri