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» Independent components extraction from image matrix
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BMCBI
2010
155views more  BMCBI 2010»
14 years 9 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
90
Voted
VIS
2007
IEEE
157views Visualization» more  VIS 2007»
15 years 11 months ago
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
Abstract-- This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is me...
Christoph Heinzl, Johann Kastner, Eduard Grölle...
MVA
2007
106views Computer Vision» more  MVA 2007»
14 years 9 months ago
Feature Extraction from Biological Motion of Human Gait Patterns for Emotion Discrimination
We study a method of a feature extraction to discriminate emotions of human from a sensing data of human gait patterns as ”Biological motion data”. We assume that the high–d...
Hidenori Maruta, Masahiro Ishii
ICIP
2005
IEEE
15 years 3 months ago
View independent face recognition based on kernel principal component analysis of local parts
This paper presents a view independent face recognition method based on kernel principal component analysis (KPCA) of local parts. View changes induce large variation in feature s...
Koji Hotta
72
Voted
CVPR
2007
IEEE
15 years 11 months ago
Spectral Matting
We present spectral matting: a new approach to natural image matting that automatically computes a set of fundamental fuzzy matting components from the smallest eigenvectors of a ...
Anat Levin, Alex Rav-Acha, Dani Lischinski