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» An extension of the ICA model using latent variables
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NECO
2008
116views more  NECO 2008»
14 years 9 months ago
A (Somewhat) New Solution to the Variable Binding Problem
To perform automatic, unconscious inference, the human brain must solve the "binding problem" by correctly grouping properties with objects. Temporal binding models like...
Leon Barrett, Jerome Feldman, Liam Mac Dermed
ICML
2010
IEEE
14 years 11 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
PAMI
2008
162views more  PAMI 2008»
14 years 9 months ago
Dimensionality Reduction of Clustered Data Sets
We present a novel probabilistic latent variable model to perform linear dimensionality reduction on data sets which contain clusters. We prove that the maximum likelihood solution...
Guido Sanguinetti
CSDA
2007
152views more  CSDA 2007»
14 years 9 months ago
Robust variable selection using least angle regression and elemental set sampling
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
Lauren McCann, Roy E. Welsch
ICA
2007
Springer
14 years 11 months ago
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
Libo Ma, Liqing Zhang