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» Support Vector Training of Protein Alignment Models
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ICASSP
2011
IEEE
12 years 11 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
FGR
2006
IEEE
147views Biometrics» more  FGR 2006»
13 years 11 months ago
Cascaded Classification of Gender and Facial Expression using Active Appearance Models
This paper presents an approach to recognising the gender and expression of face images by means of Active Appearance Models (AAM). Features extracted by a trained AAM are used to...
Yunus Saatci, Christopher Town
COMAD
2008
13 years 9 months ago
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Pratibha Rani, Vikram Pudi
ECCV
2008
Springer
13 years 9 months ago
Shape-Based Retrieval of Heart Sounds for Disease Similarity Detection
Retrieval of similar heart sounds from a sound database has applications in physician training, diagnostic screening, and decision support. In this paper, we exploit a visual rende...
Tanveer Fathima Syeda-Mahmood, Fei Wang
ICASSP
2009
IEEE
13 years 5 months ago
Phoneme cluster based state mapping for text-independent voice conversion
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...