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ICML
2000
IEEE
13 years 12 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
BMVC
2002
13 years 10 months ago
Improving architectural 3D reconstruction by plane and edge constraining
This paper presents new techniques for improving the structural quality of automatically acquired architectural 3D models. Common architectural features like parallelism and ortho...
H. Cantzler, Robert B. Fisher, Michel Devy
IVC
2000
182views more  IVC 2000»
13 years 7 months ago
Expert system for automatic analysis of facial expressions
This paper discusses our expert system called Integrated System for Facial Expression Recognition (ISFER), which performs recognition and emotional classification of human facial ...
Maja Pantic, Léon J. M. Rothkrantz
PR
2011
12 years 10 months ago
Generalized darting Monte Carlo
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Cristian Sminchisescu, Max Welling
SPAA
2009
ACM
14 years 8 months ago
Routing without ordering
We analyze the correctness and complexity of two well-known routing algorithms, introduced by Gafni and Bertsekas (1981): By reversing the directions of some edges, these algorith...
Bernadette Charron-Bost, Antoine Gaillard, Jennife...