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ICML
2010
IEEE
15 years 7 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
ALGORITHMICA
2006
63views more  ALGORITHMICA 2006»
15 years 6 months ago
A Local Limit Theorem in the Theory of Overpartitions
Abstract. An overpartition of an integer n is a partition where the last occurrence of a part can be overlined. We study the weight of the overlined parts of an overpartition count...
Sylvie Corteel, William M. Y. Goh, Pawel Hitczenko
WSCG
2004
232views more  WSCG 2004»
15 years 7 months ago
Robust Tracking of Athletes Using Multiple Features of Multiple Views
This paper presents a robust and reconfigurable object tracker that integrates multiple visual features from multiple views. The tandem modular architecture stepwise refines the e...
Toshihiko Misu, Seiichi Gohshi, Yoshinori Izumi, Y...
LICS
2007
IEEE
16 years 12 days ago
Limits of Multi-Discounted Markov Decision Processes
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
Hugo Gimbert, Wieslaw Zielonka
PLDI
2003
ACM
15 years 11 months ago
Region-based hierarchical operation partitioning for multicluster processors
Clustered architectures are a solution to the bottleneck of centralized register files in superscalar and VLIW processors. The main challenge associated with clustered architectu...
Michael L. Chu, Kevin Fan, Scott A. Mahlke