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SSIAI
2000
IEEE
15 years 1 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
CORR
2008
Springer
118views Education» more  CORR 2008»
14 years 9 months ago
Distributed Constrained Optimization with Semicoordinate Transformations
Recent work has shown how information theory extends conventional full-rationality game theory to allow bounded rational agents. The associated mathematical framework can be used ...
William G. Macready, David Wolpert
RAS
2007
148views more  RAS 2007»
14 years 9 months ago
Including probabilistic target detection attributes into map representations
Range measuring sensors can play an extremely important role in robot navigation. All range measuring devices rely on a ‘detection criterion’ made in the presence of noise, to...
John Mullane, Ebi Jose, Martin David Adams, Wijeru...
TCOM
2010
119views more  TCOM 2010»
14 years 7 months ago
Optimization of OFDMA-Based Cellular Cognitive Radio Networks
Abstract— In this paper, we study the coexistence and optimization of a multicell cognitive radio network (CRN) which is overlaid with a multicell primary radio network (PRN). We...
Yao Ma, Dong In Kim, Zhiqiang Wu
120
Voted
JMLR
2010
148views more  JMLR 2010»
14 years 4 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal