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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...
IPPS
2010
IEEE
15 years 4 months ago
Hypergraph-based task-bundle scheduling towards efficiency and fairness in heterogeneous distributed systems
This paper investigates scheduling loosely coupled task-bundles in highly heterogeneous distributed systems. Two allocation quality metrics are used in pay-per-service distributed ...
Han Zhao, Xinxin Liu, Xiaolin Li
ICIP
2005
IEEE
16 years 8 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
ICML
2006
IEEE
16 years 7 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto
ISCAS
2003
IEEE
115views Hardware» more  ISCAS 2003»
15 years 12 months ago
An efficient color compensation scheme for skin color segmentation
Skin color is a useful means for human face detection. In this paper, we propose an efficient color compensation method for skin color segmentation under varying lighting conditio...
Kwok-Wai Wong, Kin-Man Lam, Wan-Chi Siu