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» Linear Discriminant Analysis for Signatures
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CVPR
2007
IEEE
16 years 2 months ago
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
Aleix M. Martínez, Onur C. Hamsici
94
Voted
CVPR
2000
IEEE
16 years 2 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
98
Voted
CVPR
2004
IEEE
16 years 2 months ago
Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study
Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. [2] presented a study on the comparison betwe...
Qi Li, Jieping Ye, Chandra Kambhamettu
109
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Analysis of human footsteps utilizing multi-axial seismic fusion
This paper introduces a method of enhancing an unattended ground sensor (UGS) system’s classification capability of humans via seismic signatures while subsequently discriminati...
Sean Schumer
116
Voted
ICML
2006
IEEE
16 years 1 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade