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ATAL
2005
Springer
16 years 4 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
PR
2006
164views more  PR 2006»
15 years 6 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
CVPR
2009
IEEE
17 years 1 months ago
Recognition of Repetitive Sequential Human Activity
We present a novel framework for recognizing repetitive sequential events performed by human actors with strong temporal dependencies and potential parallel overlap. Our solutio...
Akira Yanagawa, Arun Hampapur, Quanfu Fan, Russell...
ICCV
2009
IEEE
16 years 11 months ago
Unsupervised Face Alignment by Robust Nonrigid Mapping
We propose a novel approach to unsupervised facial image alignment. Differently from previous approaches, that are confined to affine transformations on either the entire face o...
Jianke Zhu, Luc Van Gool and Steven C. H. Hoi
CVPR
1999
IEEE
16 years 8 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg