116 search results - page 8 / 24 » Empirical Bernstein Boosting |
165
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CIVR
2004
Springer
15 years 12 months ago
2004
Springer
Our work in content-based image retrieval (CBIR) relies on content-analysis of multiple representations of an image which we term multiple viewpoints or channels. The conceptual id...
174
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CIDM
2009
IEEE
15 years 10 months ago
2009
IEEE
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
237
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
164
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
173
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CVPR
2005
IEEE
16 years 3 days ago
2005
IEEE
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...