468 search results - page 68 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
97
Voted
ICIP
2003
IEEE
16 years 2 months ago
2003
IEEE
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
93
Voted
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...
127
click to vote
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
106
Voted
PAMI
2011
14 years 7 months ago
2011
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
135
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CAIP
2001
Springer
15 years 5 months ago
2001
Springer
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...