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» Separation - Past, Present, and Future
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ICA
2004
Springer
15 years 5 months ago
Independent Slow Feature Analysis and Nonlinear Blind Source Separation
We present independent slow feature analysis as a new method for nonlinear blind source separation. It circumvents the indeterminacy of nonlinear independent component analysis by ...
Tobias Blaschke, Laurenz Wiskott
ENTCS
2006
131views more  ENTCS 2006»
14 years 12 months ago
Development Separation in Lambda-Calculus
We present a proof technique in -calculus that can facilitate inductive reasoning on -terms by separating certain -developments from other -reductions. We give proofs based on thi...
Hongwei Xi
TSP
2008
72views more  TSP 2008»
14 years 11 months ago
Seismic Velocity and Polarization Estimation for Wavefield Separation
Abstract--We address the problem of estimating the shape parameters of seismic wavefields using linear arrays of three-component (3C) vector sensors with uncertain acquisition geom...
Daniela Donno, Arye Nehorai, Umberto Spagnolini
ICPR
2004
IEEE
16 years 28 days ago
Robust Feature Matching Across Widely Separated Color Images
We present a novel method for feature matching across widely separated color images. The proposed approach is robust and can support various correspondence based algorithms e.g. t...
Alexander Kaplan, Ehud Rivlin, Ilan Shimshoni
GECCO
2004
Springer
144views Optimization» more  GECCO 2004»
15 years 5 months ago
Feature Subset Selection, Class Separability, and Genetic Algorithms
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
Erick Cantú-Paz