1364 search results - page 167 / 273 » Sampling Methods for Unsupervised Learning |
190
Voted
ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
262
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CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
114
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CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
106
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ICCV
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...