784 search results - page 86 / 157 » Diffeomorphic Dimensionality Reduction |
113
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ECCV
2006
Springer
16 years 1 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...
ICPR
2000
IEEE
16 years 28 days ago
2000
IEEE
The structural health of airframes is often monitored by analysis of the frequency of occurrence matrix (FOOM) produced after each flight. Each cell in the matrix records a stress...
ICML
2006
IEEE
16 years 20 days ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
ICML
2003
IEEE
16 years 20 days ago
2003
IEEE
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
205
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VLDB
2006
ACM
16 years 2 days ago
2006
ACM
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...