6113 search results - page 155 / 1223 » Learning Features for Tracking |
164
Voted
ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
97
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
In this paper, we present a novel method for human action recognition with the combined global movement feature and local configuration feature. The human action is represented as...
170
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Tracking-by-detection is increasingly popular in order to tackle the visual tracking problem. Existing adaptive methods suffer from the drifting problem, since they rely on selfup...
119
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MDAI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Common inductive learning strategies offer the tools for knowledge acquisition, but possess some inherent limitations due to the use of fixed bias during the learning p...
131
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...