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CVPR
2005
IEEE
15 years 7 months ago
Jensen-Shannon Boosting Learning for Object Recognition
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...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
TLCA
2005
Springer
15 years 7 months ago
The Elimination of Nesting in SPCF
We use a fully abstract denotational model to show that nested function calls and recursive definitions can be eliminated from SPCF (a typed functional language with simple non-lo...
James Laird
WISE
2002
Springer
15 years 6 months ago
A Unified Framework for Clustering Heterogeneous Web Objects
In this paper, we introduce a novel framework for clustering web data which is often heterogeneous in nature. As most existing methods often integrate heterogeneous data into a un...
Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma
NLPRS
2001
Springer
15 years 6 months ago
Learning Strategies In A Grammar Induction Framework
This work extends a semi-automatic grammar induction approach previously proposed in [1]. We investigate the use of Information Gain (IG) in place of Mutual Information (MI) for g...
Chin-Chung Wong, Helen M. Meng, Kai-Chung Siu
INFOCOM
2000
IEEE
15 years 6 months ago
Distributed Power Control and Spreading Gain Allocation in CDMA Data Networks
We study the radio resource allocation problem of distributed joint transmission power control and spreading gain allocation in a DS-CDMA mobile data network. The network consists...
Seong-Jun Oh, Tava Lennon Olsen, Kimberly M. Wasse...