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TMM
2002
117views more  TMM 2002»
14 years 9 months ago
Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden Markov models
We present a new statistical model for characterizing texture images based on wavelet-domain hidden Markov models. With a small number of parameters, the new model captures both th...
Minh N. Do, Martin Vetterli
DICTA
2003
14 years 11 months ago
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting
Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
Nianjun Liu, Brian C. Lovell
ALT
2004
Springer
15 years 6 months ago
Hidden Markov Modelling Techniques for Haplotype Analysis
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
Mikko Koivisto, Teemu Kivioja, Heikki Mannila, Pas...
ICASSP
2008
IEEE
15 years 4 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
15 years 4 months ago
Representability of human motions by factorial hidden Markov models
— This paper describes an improved methodology for human motion recognition and imitation based on Factorial Hidden Markov Models (FHMM). Unlike conventional Hidden Markov Models...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura