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» On Weak Markov's Principle
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SODA
1997
ACM
76views Algorithms» more  SODA 1997»
13 years 9 months ago
Markov Chains for Linear Extensions, the Two-Dimensional Case
We study the generation of uniformly distributed linear extensions using Markov chains. In particular we show that monotone coupling from the past can be applied in the case of lin...
Stefan Felsner, Lorenz Wernisch
ICALP
2011
Springer
12 years 11 months ago
On the Semantics of Markov Automata
Markov automata describe systems in terms of events which may be nondeterministic, may occur probabilistically, or may be subject to time delays. We define a novel notion of weak ...
Yuxin Deng, Matthew Hennessy
FAC
2007
122views more  FAC 2007»
13 years 7 months ago
Formal techniques for performance analysis: blending SAN and PEPA
Abstract. In this paper we consider two performance modelling techniques from the perspectives of model construction, generation of an underlying continuous time Markov process, an...
Jane Hillston, Leïla Kloul
FTSIG
2007
136views more  FTSIG 2007»
13 years 7 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
CVPR
2010
IEEE
14 years 1 months ago
Weakly-Supervised Hashing in Kernel Space
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Yadong Mu, Jialie Shen, Shuicheng Yan