543 search results - page 39 / 109 » Nonlinear principal component analysis of noisy data |
IWINAC
2005
Springer
15 years 3 months ago
2005
Springer
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...
ESANN
2006
14 years 11 months ago
2006
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...
63
Voted
CLEF
2010
Springer
14 years 10 months ago
2010
Springer
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 ...
68
Voted
ISMIR
2004
Springer
15 years 3 months ago
2004
Springer
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...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
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...