1364 search results - page 107 / 273 » Sampling Methods for Unsupervised Learning |
117
Voted
ICRA
2009
IEEE
15 years 9 months ago
2009
IEEE
— To address the difficulty of designing a controller for complex visual-servoing tasks, two learning-based uncalibrated approaches are introduced. The first method starts by b...
123
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BMCBI
2006
15 years 2 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
125
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CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
108
Voted
ICPR
2010
IEEE
15 years 22 days ago
2010
IEEE
Detecting abnormal behaviors in crowd scenes is quite important for public security and has been paid more and more attentions. Most previous methods use offline trained model to p...
143
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Several recently-proposed architectures for highperformance
object recognition are composed of two main
stages: a feature extraction stage that extracts locallyinvariant
feature...