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» Phoneme recognition using Boosted Binary Features
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CVPR
2004
IEEE
14 years 12 months ago
Asymmetrically Boosted HMM for Speech Reading
Speech reading, also known as lip reading, is aimed at extracting visual cues of lip and facial movements to aid in recognition of speech. The main hurdle for speech reading is th...
Pei Yin, Irfan A. Essa, James M. Rehg
CVPR
2006
IEEE
14 years 12 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang
TSD
2005
Springer
14 years 3 months ago
Modelling Lexical Stress
Human listeners use lexical stress for word segmentation and disambiguation. We look into using lexical stress for speech recognition by examining a Dutch-language corpus. We propo...
Rogier C. van Dalen, Pascal Wiggers, Léon J...
ACCV
2009
Springer
14 years 4 months ago
Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles
Face recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snapshot about the ...
Xi Li, Kazuhiro Fukui, Nanning Zheng
ICB
2007
Springer
214views Biometrics» more  ICB 2007»
14 years 1 months ago
Demographic Classification with Local Binary Patterns
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH featu...
Zhiguang Yang, Haizhou Ai