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» Robust Principal Component Analysis for Computer Vision
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ICNC
2005
Springer
14 years 2 months ago
Line-Based PCA and LDA Approaches for Face Recognition
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
Vo Dinh Minh Nhat, Sungyoung Lee
JCC
2008
114views more  JCC 2008»
13 years 8 months ago
Molecular simulation of multistate peptide dynamics: A comparison between microsecond timescale sampling and multiple shorter tr
Abstract: Molecular dynamics simulations of the RN24 peptide, which includes a diverse set of structurally heterogeneous states, are carried out in explicit solvent. Two approaches...
Luca Monticelli, Eric J. Sorin, D. Peter Tieleman,...
ICNP
2005
IEEE
14 years 2 months ago
Typed Abstraction of Complex Network Compositions
straction of Complex Network Compositions∗ Azer Bestavros, Adam D. Bradley, Assaf J. Kfoury, and Ibrahim Matta Department of Computer Science Boston University The heterogeneity...
Azer Bestavros, Adam Bradley, Assaf J. Kfoury, Ibr...
CVPR
2009
IEEE
14 years 20 days ago
Dual distributions of multilinear geometric entities
In this paper, we propose how the parameter distributions of multilinear geometric entities can be dualised. The dualisation concern, for example, the parameter distributions of c...
Sami S. Brandt
ICPR
2010
IEEE
13 years 11 months ago
Natural Material Recognition with Illumination Invariant Textural Features
Abstract—A visual appearance of natural materials fundamentally depends on illumination conditions, which significantly complicates a real scene analysis. We propose textural fe...
Pavel Vacha, Michael Haindl