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IJBRA
2006
107views more  IJBRA 2006»
15 years 6 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky
BC
2004
98views more  BC 2004»
15 years 6 months ago
A stochastic model for the detection of coherent motion
A computational model is presented for the detection of coherent motion based on template matching and hidden Markov models. The premise of this approach is that the growth in dete...
Jason Lee, Willy Wong
CORR
1999
Springer
59views Education» more  CORR 1999»
15 years 6 months ago
HMM Specialization with Selective Lexicalization
We present a technique which complements Hidden Markov Models by incorporating some lexicalized states representing syntactically uncommon words. 'Our approach examines the d...
Jin-Dong Kim, Sang-Zoo Lee, Hae-Chang Rim
PAMI
1998
193views more  PAMI 1998»
15 years 6 months ago
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
—We present two real-time hidden Markov model-based systems for recognizing sentence-level continuous American Sign Language (ASL) using a single camera to track the user’s una...
Thad Starner, Joshua Weaver, Alex Pentland
ICASSP
2011
IEEE
14 years 10 months ago
Hidden Discrete Tempo Model: A tempo-aware timing model for audio-to-score alignment
In this paper, we present the Hidden Discrete Tempo Model, an effective Dynamic Bayesian Network for audio to score matching. Its main feature is an explicit modeling of tempo, wh...
Cyril Joder, Slim Essid, Gaël Richard