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» The Infinite Hidden Markov Model
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141
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MM
2005
ACM
140views Multimedia» more  MM 2005»
15 years 9 months ago
Topic transition detection using hierarchical hidden Markov and semi-Markov models
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
146
Voted
PERCOM
2009
ACM
15 years 10 months ago
Markov Chain Existence and Hidden Markov Models in Spectrum Sensing
—The primary function of a cognitive radio is to detect idle frequencies or sub-bands, not used by the primary users (PUs), and allocate these frequencies to secondary users. The...
Chittabrata Ghosh, Carlos de M. Cordeiro, Dharma P...
127
Voted
ANSS
2006
IEEE
15 years 9 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
141
Voted
FORMATS
2007
Springer
15 years 7 months ago
CSL Model Checking Algorithms for Infinite-State Structured Markov Chains
Jackson queueing networks (JQNs) are a very general class of queueing networks that find their application in a variety of settings. The state space of the continuous-time Markov c...
Anne Remke, Boudewijn R. Haverkort