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» Online Learning with Prior Knowledge
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ECCV
2006
Springer
16 years 1 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
ECML
2007
Springer
15 years 3 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
BMVC
2002
15 years 2 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
CVIU
2011
14 years 3 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla
CSEDU
2009
136views Education» more  CSEDU 2009»
14 years 9 months ago
Learning about Social Accounting in the Knowledge Society - A wiki-Webquest
Carmen-Pilar Martí-Ballester, Soledad Moya-...