13414 search results - page 43 / 2683 » The distributed boosting algorithm |
ICASSP
2007
IEEE
14 years 3 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...
IICS
2010
Springer
14 years 17 days 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 ...
ACCV
2007
Springer
14 years 2 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...
ICPR
2008
IEEE
14 years 3 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...
ICML
2001
IEEE
14 years 9 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...