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CVPR
2012
IEEE
11 years 8 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
MCS
2010
Springer
14 years 18 days ago
Class-Separability Weighting and Bootstrapping in Error Correcting Output Code Ensembles
A method for applying weighted decoding to error-correcting output code ensembles of binary classifiers is presented. This method is sensitive to the target class in that a separa...
Raymond S. Smith, Terry Windeatt
ICDE
2007
IEEE
198views Database» more  ICDE 2007»
14 years 3 days ago
A Novel Visual Feature Extraction and Its Application in Vowel Recognition
Speech recognition techniques have been developed dramatically in recent years. Nevertheless, errors caused by environmental noise are still a serious problem in recognition. Empl...
Vahideh Sadat Sadeghi, Khashayar Yaghmaie
ESANN
1998
13 years 7 months ago
Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
Abstract. In this paper, we focus on a novel NN/HMM architecture for continuous speech recognition. The architecture incorporates a neural feature extraction to gain more discrimin...
Daniel Willett, Gerhard Rigoll
CIRA
2007
IEEE
188views Robotics» more  CIRA 2007»
13 years 9 months ago
Facial Identity and Expression Recognition by using Active Appearance Model with Efficient Second Order Minimization and Neural
This paper proposes a technique for real-time recognition of facial Identity and expression which uses the active appearance model (AAM) with efficient second order minimization al...
Hyun-Chul Choi, Se-Young Oh