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SSPR
2000
Springer
14 years 1 months ago
A New Approximation Method of the Quadratic Discriminant Function
Abstract. For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the proba...
Shinichiro Omachi, Fang Sun, Hirotomo Aso
CVPR
2010
IEEE
14 years 6 months ago
Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction
Historically non-rigid shape recovery and articulated pose estimation have evolved as separate fields. Recent methods for non-rigid shape recovery have focused on improving the a...
Mathieu Salzmann, Raquel Urtasun
ACII
2005
Springer
13 years 11 months ago
A Novel Regularized Fisher Discriminant Method for Face Recognition Based on Subspace and Rank Lifting Scheme
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
Wen-Sheng Chen, Pong Chi Yuen, Jian Huang, Jian-Hu...
CSDA
2006
96views more  CSDA 2006»
13 years 9 months ago
Analysis of new variable selection methods for discriminant analysis
Several methods to select variables that are subsequently used in discriminant analysis are proposed and analysed. The aim is to find from among a set of m variables a smaller sub...
Joaquín A. Pacheco, Silvia Casado, Laura N&...
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
14 years 4 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....