425 search results - page 30 / 85 » A Semi-Supervised Gaussian Mixture Model for Image Segmentat... |
140
Voted
ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper presents a novel Gaussianized vector representation for scene images by an unsupervised approach. First, each image is encoded as an ensemble of orderless bag of featur...
157
Voted
NIPS
2004
15 years 5 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
121
Voted
ICIP
2001
IEEE
16 years 5 months ago
2001
IEEE
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
144
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ICCV
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
133
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ICIP
2006
IEEE
16 years 5 months ago
2006
IEEE
Piecewise constant and piecewise smooth Mumford-Shah (MS) models have been widely studied and used for image segmentation. More complicated than piecewise constant MS, global Gaus...