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» Covariant Derivatives and Vision
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CVPR
2010
IEEE
15 years 5 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...
ICML
2007
IEEE
15 years 10 months ago
Full regularization path for sparse principal component analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
ISBI
2004
IEEE
15 years 10 months ago
Noise Analysis for Diffraction Enhanced Imaging
Herein we present a quantitative noise analysis of diffraction enhanced imaging (DEI), an x-ray imaging method that produces absorption and refraction images, with inherent immuni...
Miles N. Wernick, Jovan G. Brankov, Alejandro Saiz...
IROS
2008
IEEE
131views Robotics» more  IROS 2008»
15 years 4 months ago
Deformations of general parametric shells: Computation and robot experiment
— A shell is a body enclosed between two closely spaced and curved surfaces. Classical theory of shells [38], [33], [16] assumes a parametrization along the lines of principal cu...
Yan-Bin Jia, Jiang Tian
ISRR
2005
Springer
111views Robotics» more  ISRR 2005»
15 years 3 months ago
Bias Reduction and Filter Convergence for Long Range Stereo
We are concerned here with improving long range stereo by filtering image sequences. Traditionally, measurement errors from stereo camera systems have been approximated as 3-D Gau...
Gabe Sibley, Larry Matthies, Gaurav S. Sukhatme