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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 5 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
GI
2009
Springer
15 years 4 months ago
Automated GUI Testing Validation guided by Annotated Use Cases
Abstract: This paper presents a new approach to Automatic GUI Test Case Generation and Validation: a use case-guided technique to reduce the effort required in GUI modeling and tes...
Pedro Luis Mateo Navarro, Diego Sevilla Ruiz, Greg...
TIP
2010
88views more  TIP 2010»
15 years 1 months ago
Efficient Stereoscopic Ranging via Stochastic Sampling of Match Quality
We present an efficient method that computes dense stereo correspondences by stochastically sampling match quality values. Nonexhaustive sampling facilitates the use of quality met...
Thayne Richard Coffman, Alan Conrad Bovik
CVPR
2011
IEEE
14 years 10 months ago
Supervised Hypergraph Labeling
We address the problem of labeling individual datapoints given some knowledge about (small) subsets or groups of them. The knowledge we have for a group is the likelihood value fo...
Toufiq Parag, Ahmed Elgammal
ICASSP
2011
IEEE
14 years 10 months ago
Prediction of discrete cosine transformed coefficients in resized pixel blocks
Abstract— A hybrid model was developed to predict the zeroquantized discrete cosine transform (ZQDCT) coefficients for intra blocks in our previous work. However, the complicated...
Jin Li, Weiwei Chen, Moncef Gabbouj, Jarmo Takala,...