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» Face Detection Using Mixtures of Linear Subspaces
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FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
15 years 6 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
112
Voted
TSMC
2008
182views more  TSMC 2008»
14 years 11 months ago
Incremental Linear Discriminant Analysis for Face Recognition
Abstract--Dimensionality reduction methods have been successfully employed for face recognition. Among the various dimensionality reduction algorithms, linear (Fisher) discriminant...
Haitao Zhao, Pong Chi Yuen
72
Voted
CGF
2008
103views more  CGF 2008»
14 years 11 months ago
Image-based Shaving
Many categories of objects, such as human faces, can be naturally viewed as a composition of several different layers. For example, a bearded face with glasses can be decomposed i...
Minh Hoai Nguyen, Jean-François Lalonde, Al...
108
Voted
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 1 days ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
ICPR
2006
IEEE
15 years 5 months ago
Fast Linear Discriminant Analysis Using Binary Bases
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
Feng Tang, Hai Tao