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ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
GW
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully cons...
HRI
2007
ACM
14 years 1 months ago
2007
ACM
We present an approach to teach incrementally human gestures to a humanoid robot. The learning process consists of first projecting the movement data in a latent space and encodin...
NIPS
2003
13 years 10 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...