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PE
2002
Springer
124views Optimization» more  PE 2002»
13 years 7 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley
JMLR
2006
143views more  JMLR 2006»
13 years 7 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
COLING
2008
13 years 9 months ago
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling
This paper explores the use of the homotopy method for training a semi-supervised Hidden Markov Model (HMM) used for sequence labeling. We provide a novel polynomial-time algorith...
Gholamreza Haffari, Anoop Sarkar
TSMC
2008
95views more  TSMC 2008»
13 years 7 months ago
Natural Movement Generation Using Hidden Markov Models and Principal Components
Recent studies have shown that the perception of natural movements--in the sense of being "humanlike"--depends on both joint and task space characteristics of the movemen...
Junghyun Kwon, Frank C. Park
ICDAR
2009
IEEE
13 years 5 months ago
Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...