13414 search results - page 43 / 2683 » The distributed boosting algorithm |
117
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ICASSP
2007
IEEE
15 years 8 months ago
2007
IEEE
Recently graph-cut optimization has been extensively explored for interactive image segmentation. In this paper we propose Discriminative Gaussian Mixtures (DGMs) to boost the per...
121
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IICS
2010
Springer
15 years 6 months ago
2010
Springer
Started in 1998, the search engine Google estimates page importance using several parameters. PageRank is one of those. Precisely, PageRank is a distribution of probability on the ...
104
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ACCV
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
117
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ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
164
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...