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PAKDD
2005
ACM
168views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Adaptive Nonlinear Auto-Associative Modeling Through Manifold Learning
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
Junping Zhang, Stan Z. Li
CIDU
2010
14 years 8 months ago
Adaptive Model Refinement for the Ionosphere and Thermosphere
Mathematical models of physical phenomena are of critical importance in virtually all applications of science and technology. This paper addresses the problem of how to use data to...
Anthony M. D'Amato, Aaron J. Ridley, Dennis S. Ber...
BMCBI
2005
250views more  BMCBI 2005»
14 years 9 months ago
FiatFlux - a software for metabolic flux analysis from 13C-glucose experiments
Background: Quantitative knowledge of intracellular fluxes is important for a comprehensive characterization of metabolic networks and their functional operation. In contrast to d...
Nicola Zamboni, Eliane Fischer, Uwe Sauer
ICASSP
2009
IEEE
15 years 4 months ago
Using complex-valued ICA to efficiently combine radar polarimetric data for target detection
Target detection in sea clutter is a challenging problem in radar detection, specifically, when the Doppler return of the target and clutter are collocated. Polarization diverse ...
Mike Novey, Tülay Adali
COST
2008
Springer
122views Multimedia» more  COST 2008»
14 years 11 months ago
Articulatory Speech Re-synthesis: Profiting from Natural Acoustic Speech Data
The quality of static phones (e.g. vowels, fricatives, nasals, laterals) generated by articulatory speech synthesizers has reached a high level in the last years. Our goal is to ex...
Dominik Bauer, Jim Kannampuzha, Bernd J. Krög...