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» Data Separation by Sparse Representations
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ICA
2007
Springer
14 years 1 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
ICASSP
2010
IEEE
13 years 10 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 5 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
NEUROSCIENCE
2001
Springer
14 years 2 months ago
Neural Mechanisms for Representing Surface and Contour Features
Contours and surfaces are basic qualities which are processed by the visual system to aid the successful behavior of autonomous beings within the environment. There is increasing e...
Thorsten Hansen, Heiko Neumann
CIKM
2005
Springer
14 years 3 months ago
Evaluation of a MCA-based approach to organize data cubes
On Line Analysis Processing (OLAP) is a technology basically created to provide users with tools in order to explore and navigate into data cubes. Unfortunately, in huge and spars...
Riadh Ben Messaoud, Omar Boussaid, Sabine Rabas&ea...