1547 search results - page 118 / 310 » Learning a Classification Model for Segmentation |
119
Voted
ICDAR
2009
IEEE
15 years 9 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
126
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
120
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
A key ingredient in the design of visual object classification
systems is the identification of relevant class specific
aspects while being robust to intra-class variations. Whil...
137
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ML
2000
ACM
15 years 2 months ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
189
Voted
PAMI
2010
15 years 28 days ago
2010
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...