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ECCV
2000
Springer
16 years 7 months ago
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
The Singular Value Decomposition (SVD) of a matrix is a linear algebra tool that has been successfully applied to a wide variety of domains. The present paper is concerned with the...
Manolis I. A. Lourakis, Théodore Papadopoul...
ICML
2007
IEEE
16 years 6 months ago
Classifying matrices with a spectral regularization
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
Ryota Tomioka, Kazuyuki Aihara
ICML
2005
IEEE
16 years 6 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
WWW
2008
ACM
16 years 6 months ago
Feature weighting in content based recommendation system using social network analysis
We propose a hybridization of collaborative filtering and content based recommendation system. Attributes used for content based recommendations are assigned weights depending on ...
Souvik Debnath, Niloy Ganguly, Pabitra Mitra
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 12 months ago
Approximating geometric crossover in semantic space
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
Krzysztof Krawiec, Pawel Lichocki