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» Learning Sample Subspace with Application to Face Detection
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ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
70
Voted
ICIP
2005
IEEE
15 years 11 months ago
Comparative study: face recognition on unspecific persons using linear subspace methods
Recently many Automatic Face Recognition (AFR) systems were developed for applications with unspecific persons, which is different from conventional pattern recognition problems wh...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
71
Voted
ICML
2006
IEEE
15 years 10 months ago
Combined central and subspace clustering for computer vision applications
Central and subspace clustering methods are at the core of many segmentation problems in computer vision. However, both methods fail to give the correct segmentation in many pract...
Le Lu, René Vidal
82
Voted
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
15 years 10 months ago
IMMC: incremental maximum margin criterion
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
Jun Yan, Benyu Zhang, Shuicheng Yan, Qiang Yang, H...
ICPR
2010
IEEE
14 years 9 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur