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» Learning nonlinear dynamic models
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ATAL
2009
Springer
14 years 10 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
108
Voted
ASAP
2006
IEEE
97views Hardware» more  ASAP 2006»
15 years 6 months ago
Dynamic-SIMD for lens distortion compensation
An increasing computational demand is placed on the image processing capacity of current and future smart cameras. SIMD processor architectures provide an efficient solution becau...
Bart Mesman, Hamed Fatemi, Henk Corporaal, Twan Ba...
112
Voted
FGR
2006
IEEE
205views Biometrics» more  FGR 2006»
15 years 6 months ago
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
We present a novel tracking algorithm that uses dynamic programming to determine the path of target objects and that is able to track an arbitrary number of different objects. The...
Philippe Dreuw, Thomas Deselaers, David Rybach, Da...
DAGM
1999
Springer
15 years 5 months ago
A Total Least Squares Framework for Low-Level Analysis of Dynamic Scenes and Processes
Abstract. We present a new method to simultaneously estimate optical flow fields and parameters of dynamic processes, violating the standard brightness change constraint equation...
Horst W. Haussecker, Christoph S. Garbe, Hagen Spi...
98
Voted
WECWIS
2003
IEEE
120views ECommerce» more  WECWIS 2003»
15 years 6 months ago
Reinforcement Learning Applications in Dynamic Pricing of Retail Markets
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
C. V. L. Raju, Y. Narahari, K. Ravikumar