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ICAART
2010
INSTICC
14 years 7 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
AAAI
1996
13 years 11 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
ECCV
2006
Springer
15 years 1 days ago
Learning Discriminative Canonical Correlations for Object Recognition with Image Sets
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
IUI
2009
ACM
14 years 2 months ago
Simplified facial animation control utilizing novel input devices: a comparative study
Editing facial expressions of virtual characters is quite a complex task. The face is made up of many muscles, which are partly activated concurrently. Virtual faces with human exp...
Nikolaus Bee, Bernhard Falk, Elisabeth André
ICPR
2006
IEEE
14 years 11 months ago
Supervised Image Classification by SOM Activity Map Comparison
This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...
Grégoire Lefebvre, Christophe Laurent, Juli...