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» Discrete optimization in computer vision
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ICML
2006
IEEE
14 years 10 months ago
An analytic solution to discrete Bayesian reinforcement learning
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
EUROCRYPT
1999
Springer
14 years 2 months ago
Secure Distributed Key Generation for Discrete-Log Based Cryptosystems
Distributed key generation is a main component of threshold cryptosystems and distributed cryptographic computing in general. Solutions to the distributed generation of private key...
Rosario Gennaro, Stanislaw Jarecki, Hugo Krawczyk,...
ICPR
2002
IEEE
14 years 2 months ago
Brain Symmetry Plane Computation in MR Images Using Inertia Axes and Optimization
Detection of the best symmetry plane in 3D images can be treated as a registration problem between the original and the reflected images. The registration is performed in a 3D sp...
Alexander V. Tuzikov, Olivier Colliot, Isabelle Bl...
CSDA
2007
109views more  CSDA 2007»
13 years 10 months ago
Improving the computation of censored quantile regressions
Abstract. Censored quantile regressions (CQR) are a valuable tool in economics and engineering. The computation of estimators is highly complex and the performance of standard meth...
Bernd Fitzenberger, Peter Winker
ICIG
2009
IEEE
13 years 7 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa