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» Face recognition and alignment using support vector machines
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JCP
2008
167views more  JCP 2008»
13 years 7 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao
MCS
2005
Springer
14 years 1 months ago
Half-Against-Half Multi-class Support Vector Machines
A Half-Against-Half (HAH) multi-class SVM is proposed in this paper. Unlike the commonly used One-Against-All (OVA) and One-Against-One (OVO) implementation methods, HAH is built ...
Hansheng Lei, Venu Govindaraju
ICPR
2010
IEEE
13 years 6 months ago
Human Action Recognition Using Segmented Skeletal Features
We present a novel human action recognition system based on segmented skeletal features which are separated into several human body parts such as face, torso and limbs. Our propos...
Sang Min Yoon, Arjan Kuijper
ECCV
2008
Springer
14 years 9 months ago
FaceTracer: A Search Engine for Large Collections of Images with Faces
We have created the first image search engine based entirely on faces. Using simple text queries such as "smiling men with blond hair and mustaches," users can search thr...
Neeraj Kumar, Peter N. Belhumeur, Shree K. Nayar
ICMCS
2005
IEEE
148views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Facial Expression Recognition with Relevance Vector Machines
For many decades automatic facial expression recognition has scientifically been considered a real challenging problem in the fields of pattern recognition or robotic vision. The ...
Dragos Datcu, Léon J. M. Rothkrantz