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» Nonlinear principal component analysis of noisy data
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CVPR
2009
IEEE
15 years 2 months ago
Multiple View Image Denoising
We present a novel multi-view denoising algorithm. Our algorithm takes noisy images taken from different viewpoints as input and groups similar patches in the input images using ...
Hailin Jin, Li Zhang, Shree K. Nayar, Sundeep Vadd...
CAEPIA
2003
Springer
14 years 29 days ago
Rotation-Based Ensembles
A new method for ensemble generation is presented. It is based on grouping the attributes in dierent subgroups, and to apply, for each group, an axis rotation, using Principal Com...
Juan José Rodríguez, Carlos J. Alons...
CTRSA
2005
Springer
88views Cryptology» more  CTRSA 2005»
14 years 1 months ago
Sub-linear Queries Statistical Databases: Privacy with Power
Abstract. We consider a statistical database in which a trusted administrator introduces noise to the query responses with the goal of maintaining privacy of individual database en...
Cynthia Dwork
ESANN
2006
13 years 9 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
ICPR
2002
IEEE
14 years 8 months ago
PCA in Autocorrelation Space
The use of higher order autocorrelations as features for pattern classification has been usually restricted to second or third orders due to high computational costs. Since the au...
Vlad Popovici, Jean-Philippe Thiran