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FTSIG
2007
136views more  FTSIG 2007»
13 years 8 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
TSMC
2011
250views more  TSMC 2011»
13 years 3 months ago
Markov Models for Biogeography-Based Optimization
—Biogeography-based optimization (BBO) is a4 population-based evolutionary algorithm that is based on the5 mathematics of biogeography. Biogeography is the science and6 study of ...
Dan Simon, Mehmet Ergezer, Dawei Du, Richard Allen...
ICCV
2001
IEEE
14 years 10 months ago
Model-Based Bundle Adjustment with Application to Face Modeling
We present a new model-based bundle adjustment algorithm to recover the 3D model of a scene/object from a sequence of images with unknown motions. Instead of representing scene/ob...
Ying Shan, Zicheng Liu, Zhengyou Zhang
GLOBECOM
2006
IEEE
14 years 2 months ago
A Novel Semi-Markov Smooth Mobility Model for Mobile Ad Hoc Networks
Abstract— Existing random mobility models have their limitations such as speed decay and sharp turn which have been demonstrated by the previous studies. More importantly, mobili...
Ming Zhao 0001, Wenye Wang
AIED
2009
Springer
14 years 3 months ago
Discovering Tutorial Dialogue Strategies with Hidden Markov Models
Identifying effective tutorial strategies is a key problem for tutorial dialogue systems research. Ongoing work in human-human tutorial dialogue continues to reveal the complex phe...
Kristy Elizabeth Boyer, Eunyoung Ha, Michael D. Wa...