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PRL
2007
131views more  PRL 2007»
13 years 8 months ago
A new look at discriminative training for hidden Markov models
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classiï...
Xiaodong He, Li Deng
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
14 years 3 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
SIGIR
1999
ACM
14 years 1 months ago
A Hidden Markov Model Information Retrieval System
We present a new method for information retrievalusing hidden Markov models (HMMs). We develop a general framework for incorporating multiple word generation mechanisms within the...
David R. H. Miller, Tim Leek, Richard M. Schwartz
ENTCS
2002
72views more  ENTCS 2002»
13 years 8 months ago
A Symbolic Out-of-Core Solution Method for Markov Models
Despite considerable effort, the state-space explosion problem remains an issue in the analysis of Markov models. Given structure, symbolic representations can result in very comp...
Marta Z. Kwiatkowska, Rashid Mehmood, Gethin Norma...
MONET
2007
98views more  MONET 2007»
13 years 8 months ago
A Markov Model for Indoor Ultra-wideband Channel with People Shadowing
Abstract For an indoor ultra-wideband (UWB) communication system, the line-of-sight (LOS) between the transmitter and receiver may be frequently blocked by moving people. Blocking ...
Ruonan Zhang, Lin Cai