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» 2D Shape Recognition by Hidden Markov Models
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ICPR
2008
IEEE
15 years 8 months ago
Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training
Hidden Markov Model (HMM) is the dominant technology in speech recognition. The problem of optimizing model parameters is of great interest to the researchers in this area. The Ba...
Fengqin Yang, Changhai Zhang, Tieli Sun
ICDAR
2007
IEEE
15 years 8 months ago
Minimum Error Discriminative Training for Radical-Based Online Chinese Handwriting Recognition
Free style Chinese handwriting recognition continues to pose a challenge to researchers due to the variety of Chinese writing styles. To recognize handwritten characters in an onl...
Y. Zhang, P. Liu, F. Soong
CVPR
2005
IEEE
15 years 7 months ago
Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI
Advances in computer processing power and emerging algorithms are allowing new ways of envisioning Human Computer Interaction. This paper focuses on the development of a computing...
Zhihong Zeng, Jilin Tu, Brian Pianfetti, Ming Liu,...
HUC
2007
Springer
15 years 8 months ago
Tracking Free-Weight Exercises
Weight training, in addition to aerobic exercises, is an important component of a balanced exercise program. However, mechanisms for tracking free weight exercises have not yet bee...
Keng-hao Chang, Mike Y. Chen, John Canny
ICA
2012
Springer
13 years 9 months ago
A Non-negative Approach to Language Informed Speech Separation
Abstract. The use of high level information in source separation algorithms can greatly constrain the problem and lead to improved results by limiting the solution space to semanti...
Gautham J. Mysore, Paris Smaragdis