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» 2D Shape Recognition by Hidden Markov Models
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321
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EJASMP
2011
14 years 9 months ago
Phoneme and Sentence-Level Ensembles for Speech Recognition
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
Christos Dimitrakakis, Samy Bengio
193
Voted
ICDAR
2007
IEEE
16 years 14 days ago
Combining On-Line and Off-Line Systems for Handwriting Recognition
In this paper we present a new multiple classifier system (MCS) for recognizing notes written on a whiteboard. This MCS combines one off-line and two on-line handwriting recognit...
Marcus Liwicki, Horst Bunke
145
Voted
NAACL
2010
15 years 4 months ago
Investigations into the Crandem Approach to Word Recognition
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...
FGR
2008
IEEE
288views Biometrics» more  FGR 2008»
16 years 18 days ago
Face recognition with temporal invariance: A 3D aging model
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shap...
Unsang Park, Yiying Tong, Anil K. Jain
172
Voted
ICASSP
2009
IEEE
16 years 27 days ago
Generalized Baum-Welch algorithm for discriminative training on large vocabulary continuous speech recognition system
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation...
Roger Hsiao, Yik-Cheung Tam, Tanja Schultz