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» Learning Models for Predicting Recognition Performance
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TSMC
2011
292views more  TSMC 2011»
14 years 4 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
ICASSP
2011
IEEE
14 years 1 months ago
Informative dialect recognition using context-dependent pronunciation modeling
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...
Nancy F. Chen, Wade Shen, Joseph P. Campbell, Pedr...
ISCI
2002
120views more  ISCI 2002»
14 years 9 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak
FGR
2008
IEEE
170views Biometrics» more  FGR 2008»
15 years 4 months ago
Using an adaptive VAR Model for motion prediction in 3D hand tracking
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
IROS
2008
IEEE
113views Robotics» more  IROS 2008»
15 years 4 months ago
Motion recognition and generation by combining reference-point-dependent probabilistic models
— 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...
Komei Sugiura, Naoto Iwahashi