1575 search results - page 75 / 315 » Unsupervised Learning of Models for Recognition |
COLING
2010
14 years 4 months ago
2010
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
101
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
102
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CVPR
2009
IEEE
16 years 5 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...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...