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NIPS
2004
15 years 1 months ago
Linear Multilayer Independent Component Analysis for Large Natural Scenes
In this paper, linear multilayer ICA (LMICA) is proposed for extracting independent components from quite high-dimensional observed signals such as large-size natural scenes. Ther...
Yoshitatsu Matsuda, Kazunori Yamaguchi
AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 6 hour ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
TSMC
2008
95views more  TSMC 2008»
14 years 11 months ago
Natural Movement Generation Using Hidden Markov Models and Principal Components
Recent studies have shown that the perception of natural movements--in the sense of being "humanlike"--depends on both joint and task space characteristics of the movemen...
Junghyun Kwon, Frank C. Park
FMCO
2003
Springer
162views Formal Methods» more  FMCO 2003»
15 years 5 months ago
An MDA Approach to Tame Component Based Software Development
Abstract. The aim of this paper is to show how the Model Driven Architecture (MDA) can be used in relation with component based software engineering. A software component only exhi...
Jean-Marc Jézéquel, Olivier Defour, ...
HAPTICS
2007
IEEE
15 years 6 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