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NN
2007
Springer
105views Neural Networks» more  NN 2007»
15 years 7 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling
MCS
2008
Springer
15 years 7 months ago
Dynamical low-rank approximation: applications and numerical experiments
Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Achim Nonnenmacher, Christian Lubich
SAC
2008
ACM
15 years 7 months ago
Towards automatic feature vector optimization for multimedia applications
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
Tobias Schreck, Dieter W. Fellner, Daniel A. Keim
ICIP
2008
IEEE
16 years 2 months ago
Raising in watershed lattices
The watershed segmentation is a popular tool in image processing. Starting from an initial map, the border thinning transformation produces a map whose minima constitute the catch...
Jean Cousty, Laurent Najman, Jean Serra
JMIV
2010
78views more  JMIV 2010»
15 years 6 months ago
Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm
: In this paper, we are interested in texture modeling with functional analysis spaces. We focus on the case of color image processing, and in particular color image decomposition....
Vincent Duval, Jean-François Aujol, Luminit...