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» Face Detection and Recognition using Hidden Markov Models
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TASLP
2008
154views more  TASLP 2008»
14 years 9 months ago
Capturing Local Variability for Speaker Normalization in Speech Recognition
The new model reduces the impact of local spectral and temporal variability by estimating a finite set of spectral and temporal warping factors which are applied to speech at the f...
Antonio Miguel, Eduardo Lleida, Richard Rose, Luis...
ICPR
2008
IEEE
15 years 11 months ago
View-invariant full-body gesture recognition from video
In this paper, we propose a video-based full-body gesture recognition system independent of the view angle of the cameras. We performed multilinear analysis on the silhouette imag...
Bo Peng, Gang Qian, Stjepan Rajko
RAS
2008
142views more  RAS 2008»
14 years 9 months ago
Motion intention recognition in robot assisted applications
Acquiring, representing and modeling human skills is one of the key research areas in teleoperation, programming-by-demonstration and human-machine collaborative settings. The pro...
Daniel Aarno, Danica Kragic
ICPR
2000
IEEE
15 years 11 months ago
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams
In this paper a robust multifont character recognition system for degraded documents such as photocopy or fax is described. The system is based on Hidden Markov Models (HMMs) usin...
Anja Brakensiek, Daniel Willett, Gerhard Rigoll
ICASSP
2009
IEEE
15 years 1 months ago
Graphical Models: Statistical inference vs. determination
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
Joachim Schenk, Benedikt Hörnler, Artur Braun...