1187 search results - page 54 / 238 » The Generalized Dimensionality Reduction Problem |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
CRYPTO
2006
Springer
15 years 1 months ago
2006
Springer
Abstract Lattice reduction is a hard problem of interest to both publickey cryptography and cryptanalysis. Despite its importance, extremely few algorithms are known. The best algo...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
A learning problem might have several measures of complexity (e.g., norm and dimensionality) that affect the generalization error. What is the interaction between these complexiti...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...