6113 search results - page 299 / 1223 » Learning Features for Tracking |
156
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RSCTC
2000
Springer
15 years 10 months ago
2000
Springer
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
161
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JIPS
2006
15 years 6 months ago
2006
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
192
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PAMI
2008
15 years 6 months ago
2008
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
220
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BMVC
2010
15 years 4 months ago
2010
This paper presents a learning-based method for combining the shape and appearance feature types for 3D human pose estimation from single-view images. Our method is based on clust...
812
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Publication
State-of-the-art person re-identi cation methods seek robust person matching through combining various feature types. Often, these features are implicitly assigned with a single ve...