Sciweavers

847 search results - page 5 / 170
» HITS is Principal Components Analysis
Sort
View
BMCBI
2010
146views more  BMCBI 2010»
14 years 10 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
CORR
2010
Springer
163views Education» more  CORR 2010»
14 years 10 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
DCC
2008
IEEE
15 years 9 months ago
Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures
A method is proposed for the compression of hyperspectral signature vectors on severely resourceconstrained encoding platforms. The proposed technique, compressive-projection prin...
James E. Fowler
80
Voted
HAPTICS
2007
IEEE
15 years 4 months ago
Finger Force Direction Recognition by Principal Component Analysis of Fingernail Coloration Pattern
A method based on Principal Component Analysis of the fingernail coloration pattern is presented to infer fingertip force direction during planar contact. Images from 7 subjects...
Yu Sun, John M. Hollerbach, Stephen A. Mascaro
ICCV
2001
IEEE
16 years 5 days ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black