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FGR
2008
IEEE
155views Biometrics» more  FGR 2008»
9 years 3 months ago
Biased discriminant analysis using composite vectors for eye detection
We propose a new discriminant analysis using composite vectors for eye detection. A composite vector consists of a number of pixels inside a window on an image. The covariance of ...
Chunghoon Kim, Matthew Turk, Chong-Ho Choi
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
9 years 3 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....
ACCV
2009
Springer
9 years 3 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
9 years 3 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
CVPR
2010
IEEE
9 years 4 months ago
Pareto Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...
Karim Abou-Moustafa, Fernando De la Torre, Frank F...
ECCV
2006
Springer
9 years 10 months ago
Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
Guang Dai, Dit-Yan Yeung, Hong Chang
CVPR
2007
IEEE
9 years 10 months ago
Statistical Shape Analysis of Multi-Object Complexes
An important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetri...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....
CVPR
2000
IEEE
9 years 10 months ago
A Robust and Efficient Motion Segmentation Based on Orthogonal Projection Matrix of Shape Space
A novel algorithm for motion segmentation is proposed. The algorithm uses the fact that shape of an object with homogeneous motion is represented as 4 dimensional linear space. Th...
Naoyuki Ichimura
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