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» Boosting with incomplete information
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76
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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
15 years 10 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
CVPR
2006
IEEE
15 years 11 months ago
BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
Motion estimation for applications where appearance undergoes complex changes is challenging due to lack of an appropriate similarity function. In this paper, we propose to learn ...
Shaohua Kevin Zhou, Bogdan Georgescu, Dorin Comani...
ECIR
2003
Springer
14 years 11 months ago
Question Answering System for Incomplete and Noisy Data
Lili Aunimo, Oskari Heinonen, Reeta Kuuskoski, Juh...
AMW
2010
14 years 11 months ago
On Incomplete XML Documents with Integrity Constraints
We consider incomplete specifications of XML documents in the presence of schema information and integrity constraints. We show that integrity constraints such as keys and foreign ...
Pablo Barceló, Leonid Libkin, Juan L. Reutt...
73
Voted
CVPR
2005
IEEE
15 years 11 months ago
Infomax Boosting
In this paper, we described an efficient feature pursuit scheme for boosting. The proposed method is based on the infomax principle, which seeks optimal feature that achieves maxi...
Siwei Lyu