1575 search results - page 124 / 315 » Unsupervised Learning of Models for Recognition |
117
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We propose an informative dialect recognition system that learns phonetic transformation rules, and uses them to identify dialects. A hidden Markov model is used to align referenc...
133
Voted
MLMI
2007
Springer
15 years 9 months ago
2007
Springer
Automatic segmentation is an important technology for both automatic speech recognition and automatic speech understanding. In meetings, participants typically vocalize for only a ...
109
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IROS
2008
IEEE
15 years 10 months ago
2008
IEEE
— This paper presents a method to recognize and generate sequential motions for object manipulation such as placing one object on another or rotating it. Motions are learned usin...
138
Voted
FGR
2000
IEEE
15 years 8 months ago
2000
IEEE
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
160
Voted
CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...