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ICONIP
2009
13 years 7 months ago
Tracking in Reinforcement Learning
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
ICCV
2009
IEEE
15 years 2 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
CVPR
2007
IEEE
14 years 11 months ago
Regularized Mixed Dimensionality and Density Learning in Computer Vision
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
Gloria Haro, Gregory Randall, Guillermo Sapiro
ICIP
2005
IEEE
14 years 11 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
ADBIS
2009
Springer
144views Database» more  ADBIS 2009»
14 years 4 months ago
Learning Support and Legally Ruled Collaboration in the VirtualLife Virtual World Platform
The paper addresses the purposes and design decisions produced while developing a peer-to-peer virtual world platform. The work is being done within the FP7 VirtualLife project. Th...
Vytautas Cyras, Kristina Lapin