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» Nonlinear principal component analysis of noisy data
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IWINAC
2005
Springer
14 years 1 months ago
Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis
spike separation is a basic prerequisite for analyzing of the cooperative neural behavior and neural code when registering extracelluIarly. Final performance of any spike sorting m...
Alexey N. Pavlov, Valeri A. Makarov, Ioulia Makaro...
ESANN
2006
13 years 9 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
CLEF
2010
Springer
13 years 8 months ago
SINAI at LogCLEF 2010
The SINAI1 research group presents some results obtained after performing a brief analysis to the query logs from The European Library2 (TEL). The objective of the LogCLEF task is ...
José M. Perea-Ortega, Arturo Montejo R&aacu...
ISMIR
2004
Springer
124views Music» more  ISMIR 2004»
14 years 1 months ago
Eigenrhythms: Drum pattern basis sets for classification and generation
We took a collection of 100 drum beats from popular music tracks and estimated the measure length and downbeat position of each one. Using these values, we normalized each pattern...
Dan Ellis, John Arroyo
ECCV
2002
Springer
14 years 9 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black