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JMLR
2010
146views more  JMLR 2010»
13 years 2 months ago
Nonparametric Tree Graphical Models
We introduce a nonparametric representation for graphical model on trees which expresses marginals as Hilbert space embeddings and conditionals as embedding operators. This formul...
Le Song, Arthur Gretton, Carlos Guestrin
TASLP
2010
159views more  TASLP 2010»
13 years 2 months ago
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model
This article addresses the modeling of reverberant recording environments in the context of under-determined convolutive blind source separation. We model the contribution of each ...
Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gr...
ICASSP
2008
IEEE
14 years 2 months ago
On persymmetric covariance matrices in adaptive detection
In the general area of radar detection, estimation of the clutter covariance matrix is an important point. This matrix commonly exhibits a persymmetric structure: this is the case...
Guilhem Pailloux, Philippe Forster, Jean Philippe ...
CVPR
2010
IEEE
13 years 7 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton
JMLR
2010
125views more  JMLR 2010»
13 years 2 months ago
Regret Bounds for Gaussian Process Bandit Problems
Bandit algorithms are concerned with trading exploration with exploitation where a number of options are available but we can only learn their quality by experimenting with them. ...
Steffen Grünewälder, Jean-Yves Audibert,...