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» Support Vector Machines Applied to Face Recognition
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SAC
2005
ACM
15 years 3 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
14 years 1 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»
14 years 9 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»
14 years 9 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»
15 years 4 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