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» Learning Representative Local Features for Face Detection
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ICPR
2004
IEEE
15 years 10 months ago
Boosting Nested Cascade Detector for Multi-View Face Detection
In this paper, a novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer's improved boosting algorithm...
Bo Wu, Chang Huang, Haizhou Ai, Shihong Lao
FGR
2006
IEEE
159views Biometrics» more  FGR 2006»
15 years 3 months ago
A Near-infrared Image Based Face Recognition System
In this paper, we present a near infrared (NIR) image based face recognition system. Firstly, we describe a design of NIR image capture device which minimizes influence of enviro...
Stan Z. Li, Lun Zhang, ShengCai Liao, XiangXin Zhu...
CVPR
2001
IEEE
15 years 11 months ago
Learning Spatially Localized, Parts-Based Representation
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
Stan Z. Li, XinWen Hou, HongJiang Zhang, QianSheng...
ICPR
2006
IEEE
15 years 3 months ago
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
Weishi Zheng, Jian-Huang Lai
ICIP
2009
IEEE
14 years 7 months ago
Fea-Accu cascade for face detection
Aiming at unloading the high training time burden of the popular cascaded classifier, in this paper, a novel cascade structure called Fea-Accu cascade is proposed. In Fea-Accu cas...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao