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264
Voted
PAMI
2012
13 years 9 months ago
2012
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...
205
Voted
CVPR
1999
IEEE
16 years 9 months ago
1999
IEEE
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
206
Voted
ICCV
1999
IEEE
16 years 9 months ago
1999
IEEE
We propose a Bayesian framework for representing and recognizing local image motion in terms of two primitive models: translation and motion discontinuity. Motion discontinuities ...
210
Voted
ICIP
2005
IEEE
16 years 9 months ago
2005
IEEE
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
148
Voted
ICIP
2005
IEEE
16 years 9 months ago
2005
IEEE
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...