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ATAL
2005
Springer
14 years 1 months 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
ECCV
2010
Springer
14 years 27 days ago
A Streakline Representation of Flow in Crowded Scenes
Based on the Lagrangian framework for fluid dynamics, a streakline representation of flow is presented to solve computer vision problems involving crowd and traffic flow. Streakl...
Ramin Mehran, Brian E. Moore, Mubarak Shah
ECCV
2010
Springer
14 years 2 days ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
KES
2006
Springer
13 years 7 months ago
Construction of Symbolic Representation from Human Motion Information
Abstract In general, avatar-based communication has a merit that it can represent non-verbal information. The simplest way of representing the non-verbal information is to capture ...
Yutaka Araki, Daisaku Arita, Rin-ichiro Taniguchi,...
PPSN
2004
Springer
14 years 1 months ago
Optimization via Parameter Mapping with Genetic Programming
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
João Carlos Figueira Pujol, Riccardo Poli