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» Using hidden Markov models and wavelets for face recognition
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INTERSPEECH
2010
13 years 2 months ago
Can tongue be recovered from face? the answer of data-driven statistical models
This study revisits the face-to-tongue articulatory inversion problem in speech. We compare the Multi Linear Regression method (MLR) with two more sophisticated methods based on H...
Atef Ben Youssef, Pierre Badin, Gérard Bail...
ICPR
2008
IEEE
14 years 8 months ago
A discriminative semi-Markov model for robust scene text recognition
We present a semi-Markov model for recognizing scene text that integrates character and word segmentation with recognition. Using wavelet features, it requires only approximate lo...
Allen R. Hanson, Erik G. Learned-Miller, Jerod J. ...
ICML
2003
IEEE
14 years 8 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
IROS
2006
IEEE
141views Robotics» more  IROS 2006»
14 years 1 months ago
Layered HMM for Motion Intention Recognition
— We evaluate Layered Hidden Markov Models (LHMM) for motion intention recognition based on actionprimitives or gestemes. The proposed methodology uses three different HMM models...
Daniel Aarno, Danica Kragic
INTERACT
2003
13 years 9 months ago
The New Text and Graphical Input Device: Compact Biometrical Data Acquisition
Abstract: Development of new text and graphical input devices is considered to be important part of humancomputer interaction by many researchers worldwide. Our paper presents our ...
Pen Ondrej Rohlik, Pavel Mautner, Václav Ma...