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EC
2008
209views ECommerce» more  EC 2008»
13 years 7 months ago
Human Body Pose Estimation with Particle Swarm Optimisation
In this paper we address the problem of human body pose estimation from still images. A multi-view set of images of a person sitting at a table is acquired and the pose estimated....
Spela Ivekovic, Emanuele Trucco, Yvan R. Petillot
ICGA
2006
83views Optimization» more  ICGA 2006»
13 years 7 months ago
A Tool for the Direct Assessment of Poker Decisions
The element of luck permeates every aspect of the game of poker. Random stochastic outcomes introduce a large amount of noise that can make it very difficult to distinguish a good...
Darse Billings, Morgan Kan
CORR
2007
Springer
64views Education» more  CORR 2007»
13 years 7 months ago
Optimal Sequential Frame Synchronization
We consider the ‘one-shot frame synchronization problem’ where a decoder wants to locate a sync pattern at the output of a channel on the basis of sequential observations. We ...
Venkat Chandar, Aslan Tchamkerten, Gregory W. Worn...
JAIR
2006
143views more  JAIR 2006»
13 years 7 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
JMLR
2006
99views more  JMLR 2006»
13 years 7 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...