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JMLR
2008
188views more  JMLR 2008»
14 years 9 months ago
Maximal Causes for Non-linear Component Extraction
We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
Jörg Lücke, Maneesh Sahani
78
Voted
AAAI
2006
14 years 11 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
IFIP
2005
Springer
15 years 3 months ago
A New Low Rank Quasi-Newton Update Scheme for Nonlinear Programming
A new quasi-Newton scheme for updating a low rank positive semi-definite Hessian approximation is described, primarily for use in sequential quadratic programming methods for non...
R. Fletcher
ICPR
2008
IEEE
15 years 11 months ago
Region-based active contours and sparse representations for texture segmentation
In this paper we propose a rigorous framework for texture image segmentation relying on region-based active contours (RBAC) and sparse texture representation. Such representations...
François Lecellier, Gilles Aubert, Jalal Fa...
ICCV
1999
IEEE
15 years 2 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam