3449 search results - page 388 / 690 » A Framework for Multiple-Instance Learning |
161
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ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
162
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CVPR
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
140
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
112
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
120
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WWW
2008
ACM
16 years 5 months ago
2008
ACM
We consider the problem of segmenting a webpage into visually and semantically cohesive pieces. Our approach is based on formulating an appropriate optimization problem on weighte...