2865 search results - page 305 / 573 » Learning Models for Object Recognition |
156
Voted
PAMI
2011
14 years 10 months ago
2011
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
135
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, we propose a novel image similarity learning approach based on Probabilistic Feature Matching (PFM). We consider the matching process as the bipartite graph matchin...
142
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
135
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NIPS
2000
15 years 4 months ago
2000
We describe a unified framework for the understanding of structure representation in primate vision. A model derived from this framework is shown to be effectively systematic in t...
125
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TCSV
2008
15 years 3 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...