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» Finite sample effects of the fast ICA algorithm
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AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 7 months 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, ...
FASE
2006
Springer
13 years 11 months ago
Regular Inference for State Machines with Parameters
Techniques for inferring a regular language, in the form of a finite automaton, from a sufficiently large sample of accepted and nonaccepted input words, have been employed to cons...
Therese Berg, Bengt Jonsson, Harald Raffelt
SIGMOD
2002
ACM
134views Database» more  SIGMOD 2002»
14 years 7 months ago
Wavelet synopses with error guarantees
Recent work has demonstrated the effectiveness of the wavelet decomposition in reducing large amounts of data to compact sets of wavelet coefficients (termed "wavelet synopse...
Minos N. Garofalakis, Phillip B. Gibbons
26
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ICC
2007
IEEE
113views Communications» more  ICC 2007»
14 years 1 months ago
Pilot-Aided Fine Synchronization for SC-FDE Systems on Multipath Fading Channels
—With single-carrier frequency-domain equalization (SC-FDE), the carrier-frequency offset (CFO) and samplingfrequency offset (SFO) are embedded in the phase rotations of the comp...
Ping-Hung Chiang, Gordon L. Stüber, Ding-Bing...
GRAPHICSINTERFACE
2001
13 years 8 months ago
The Lit Sphere: A Model for Capturing NPR Shading from Art
While traditional graphics techniques provide for the realistic display of three-dimensional objects, these methods often lack the flexibility to emulate expressive effects found ...
Peter-Pike J. Sloan, William Martin, Amy Gooch, Br...