116 search results - page 8 / 24 » Empirical Bernstein Boosting |
CIVR
2004
Springer
14 years 3 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...
CIDM
2009
IEEE
14 years 1 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...
ICML
2001
IEEE
14 years 10 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...
ICPR
2004
IEEE
14 years 11 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...
CVPR
2005
IEEE
14 years 3 months 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...