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ICCV
2005
IEEE
16 years 7 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICCBR
2005
Springer
15 years 10 months ago
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 11 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian
183
Voted
KBSE
2003
IEEE
15 years 10 months ago
Specification and Synthesis of Hybrid Automata for Physics-Based Animation
Physics-based animation programs can often be modeled in terms of hybrid automata. A hybrid automaton includes both discrete and continuous dynamical variables. The discrete varia...
Thomas Ellman
CIKM
1997
Springer
15 years 9 months ago
Analysis and Design of Server Informative WWW-Sites
The access patterns of the users of a web-site are traditionally analyzed in order to facilitate the user access to the site's information. In this study, however, a systemat...
Amir M. Zarkesh, Jafar Adibi, Cyrus Shahabi, Reza ...