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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
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...
MCS
2007
Springer
14 years 1 months ago
Fusion of Support Vector Classifiers for Parallel Gabor Methods Applied to Face Verification
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
Ángel Serrano, Isaac Martín de Diego...
PAMI
2002
122views more  PAMI 2002»
13 years 7 months ago
Analytic PCA Construction for Theoretical Analysis of Lighting Variability in Images of a Lambertian Object
We analyze theoretically the subspace best approximating images of a convex Lambertian object taken from the same viewpoint, but under different distant illumination conditions. Si...
Ravi Ramamoorthi
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...