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» Aggregation-based model reduction of a Hidden Markov Model
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EMNETS
2007
15 years 8 months ago
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
PROCEDIA
2010
115views more  PROCEDIA 2010»
15 years 2 months ago
Generative topographic mapping by deterministic annealing
Generative Topographic Mapping (GTM) is an important technique for dimension reduction which has been successfully applied to many fields. However the usual Expectation-Maximizat...
Jong Youl Choi, Judy Qiu, Marlon E. Pierce, Geoffr...
MSWIM
2004
ACM
15 years 9 months ago
Speeding up the evaluation of multimedia streaming applications in MANETs using HMMs
Mobile ad-hoc networks (MANETs) present quite large packet loss bursts due to mobility. In this work we propose two models based on hidden Markov models for estimating packet arri...
Carlos Miguel Tavares Calafate, Pietro Manzoni, Ma...
IFIP
2009
Springer
15 years 10 months ago
HMM-Based Trust Model
Probabilistic trust has been adopted as an approach to taking security sensitive decisions in modern global computing environments. Existing probabilistic trust frameworks either a...
Ehab ElSalamouny, Vladimiro Sassone, Mogens Nielse...
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 8 months ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn