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» Japanese Word Segmentation by Hidden Markov Model
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IBPRIA
2005
Springer
15 years 5 months ago
Appearance-Based Recognition of Words in American Sign Language
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
Morteza Zahedi, Daniel Keysers, Hermann Ney
ACL
2009
14 years 9 months ago
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
ICCV
2007
IEEE
15 years 1 months ago
Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...
Michel François Valstar, Maja Pantic
ICPR
2008
IEEE
15 years 6 months ago
Improvements in hidden Markov model based Arabic OCR
This paper describes recent advances in hidden Markov model (HMM) based OCR for machine-printed Arabic documents. A combination of scriptindependent and script-specific techniques...
Rohit Prasad, Shirin Saleem, Matin Kamali, Ralf Me...
107
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DICTA
2003
15 years 1 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