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199
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IANDC
2010
116views more  IANDC 2010»
15 years 6 months ago
Weak bisimulation is sound and complete for pCTL*
Abstract. We investigate weak bisimulation of probabilistic systems in the presence of nondeterminism, i.e. labelled concurrent Markov chains (LCMC) with silent transitions. We bui...
Josée Desharnais, Vineet Gupta, Radha Jagad...
TIP
2010
155views more  TIP 2010»
15 years 5 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
ICIP
2010
IEEE
15 years 5 months ago
3D video performance segmentation
We present a novel approach that achieves segmentation of subject body parts in 3D videos. 3D video consists in a freeviewpoint video of real-world subjects in motion immersed in ...
Tony Tung, Takashi Matsuyama
198
Voted
LICS
2010
IEEE
15 years 5 months ago
Recursion Schemes and Logical Reflection
Let R be a class of generators of node-labelled infinite trees, and L be a logical language for describing correctness properties of these trees. Given R R and L, we say that R ...
Christopher H. Broadbent, Arnaud Carayol, C.-H. Lu...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
15 years 5 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud