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ABIALS
2008
Springer
15 years 8 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
ICML
2004
IEEE
16 years 7 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
15 years 5 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
INFOCOM
2010
IEEE
15 years 5 months ago
Cooperative Boundary Detection for Spectrum Sensing Using Dedicated Wireless Sensor Networks
Abstract—Spectrum sensing is one of the key enabling technologies in Cognitive Radio Networks (CRNs). In CRNs, secondary users (SUs) are allowed to exploit the spectrum opportuni...
Yanyan Yang, Yunhuai Liu, Qian Zhang, Lionel M. Ni
ICCV
2009
IEEE
1957views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Robust Visual Tracking using L1 Minimization
In this paper we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, corru...
Xue Mei, Haibin Ling