1313 search results - page 19 / 263 » Dimensionality Reduction for Classification |
166
Voted
MCS
2007
Springer
16 years 15 days ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
183
click to vote
SDM
2007
SIAM
15 years 7 months ago
2007
SIAM
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
148
Voted
PAA
2008
15 years 6 months ago
2008
This paper proposes a method of finding a discriminative linear transformation that enhances the data's degree of conformance to the compactness hypothesis and its inverse. Th...
172
Voted
ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
Due to the curse of dimensionality, high-dimensional data is often pre-processed with some form of dimensionality reduction for the classification task. Many common methods of su...
173
Voted
JMLR
2010
15 years 1 months ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...