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» Support Vector Machines Applied to Face Recognition
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SAC
2005
ACM
14 years 1 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
CVPR
2011
IEEE
12 years 12 months ago
Support Tucker Machines
In this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). More precisely, in the propos...
Irene Kotsia, Ioannis Patras
CVIU
2007
146views more  CVIU 2007»
13 years 8 months ago
Face detection in gray scale images using locally linear embeddings
The problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial ex...
Samuel Kadoury, Martin D. Levine
PAMI
2000
142views more  PAMI 2000»
13 years 7 months ago
Evolutionary Pursuit and Its Application to Face Recognition
Abstract-- This paper introduces Evolutionary Pursuit (EP) as a novel and adaptive representation method for image encoding and classification. In analogy to projection pursuit met...
Chengjun Liu, Harry Wechsler
FGR
2006
IEEE
139views Biometrics» more  FGR 2006»
14 years 2 months ago
Accurate Face Localisation for Faces under Active Near-IR Illumination
In this paper we propose a novel approach to accurate face localisation for faces under Near-Infrared (Near-IR) illumination. The circular shape of the bright pupils is a scale an...
Xuan Zou, Josef Kittler, Kieron Messer