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JMLR
2010
14 years 4 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
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ICIP
2005
IEEE
15 years 3 months ago
2005
IEEE
Abstract— In this paper, we describe a two-step varianceadaptive method for image denoising based on a statistical model of the coefficients of balanced multiwavelet transform. ...
PAMI
2006
14 years 9 months ago
2006
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
AAAI
2012
12 years 12 months ago
2012
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...