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ICANN
1997
Springer
15 years 4 months ago
Kernel Principal Component Analysis
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
JEI
2008
100views more  JEI 2008»
14 years 11 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
VISUALIZATION
1998
IEEE
15 years 4 months ago
Three-dimensional visualization of microstructures
This case study describes a technique for the three-dimensional analysis of the internal microscopic structure ("microstructure") of materials. This technique consists o...
Marco Lanzagorta, Milo V. Kral, J. Edward Swan II,...
FGR
2008
IEEE
155views Biometrics» more  FGR 2008»
15 years 6 months ago
Biased discriminant analysis using composite vectors for eye detection
We propose a new discriminant analysis using composite vectors for eye detection. A composite vector consists of a number of pixels inside a window on an image. The covariance of ...
Chunghoon Kim, Matthew Turk, Chong-Ho Choi
VISUAL
2005
Springer
15 years 5 months ago
Face Recognition Using Modular Bilinear Discriminant Analysis
We present a Modular Bilinear Disciminant Analysis (MBDA) approach for face recognition. A set of classifiers are trained independently on specific face regions, and different c...
Muriel Visani, Christophe Garcia, Jean-Michel Joli...