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» Gender Classification with Support Vector Machines
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JRTIP
2008
151views more  JRTIP 2008»
13 years 5 months ago
Automatic gender recognition based on pixel-pattern-based texture feature
A pixel-pattern-based texture feature (PPBTF) is proposed for real-time gender recognition. A gray-scale image is transformed into a pattern map where edges and lines are to be use...
Huchuan Lu, Yingjie Huang, Yen-Wei Chen, Deli Yang
ICMCS
2005
IEEE
161views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Gender identification using frontal facial images
Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender an...
Amit Jain, Jeffrey Huang, Shiaofen Fang
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
13 years 11 months ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
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
ICASSP
2008
IEEE
14 years 1 months ago
The role of voice source measures on automatic gender classification
Physiological properties of the glottis and the vocal tract change with age and gender. Since these changes are reflected in the speech signal, acoustic measures related to those...
Yen-Liang Shue, Markus Iseli