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JMIV
2008
97views more  JMIV 2008»
15 years 6 months ago
Fusion Graphs: Merging Properties and Watersheds
Region merging methods consist of improving an initial segmentation by merging some pairs of neighboring regions. In this paper, we consider a segmentation as a set of connected r...
Jean Cousty, Gilles Bertrand, Michel Couprie, Laur...
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...
CORR
2010
Springer
123views Education» more  CORR 2010»
15 years 5 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
FCSC
2010
92views more  FCSC 2010»
15 years 5 months ago
TRainbow: a new trusted virtual machine based platform
Currently, with the evolution of virtualization technology, cloud computing mode has become more and more popular. However, people still concern the issues of the runtime integrity...
Yuzhong Sun, Haifeng Fang, Ying Song, Lei Du, Kai ...
FUIN
2010
112views more  FUIN 2010»
15 years 5 months ago
An Empirical Study of QBF Encodings: from Treewidth Estimation to Useful Preprocessing
From an empirical point of view, the hardness of quantified Boolean formulas (QBFs), can be characterized by the (in)ability of current state-of-the-art QBF solvers to decide abo...
Luca Pulina, Armando Tacchella