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CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
NIPS
2004
14 years 11 months ago
2004
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
IUI
2012
ACM
13 years 5 months ago
2012
ACM
We demonstrate our airwriting interface for mobile handsfree text entry. The interface enables a user to input text into a computer by writing in the air like on an imaginary blac...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents a discriminative training (DT) approach to irrelevant variability normalization (IVN) based training of feature transforms and hidden Markov models for large v...
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AAAI
2000
14 years 11 months ago
2000
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...