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189
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...
189
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
193
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
162
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ICIP
2006
IEEE
16 years 8 months ago
2006
IEEE
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...
166
Voted
ICIP
1999
IEEE
16 years 8 months ago
1999
IEEE
Researchers are currently more interested in searching for fragments that are similar to a query, than a total data item that is similar to a query; the search interest is for &qu...