71 search results - page 6 / 15 » An evaluation of dimension reduction techniques for one-clas... |
MCS
2007
Springer
14 years 1 months 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...
ACL
2007
13 years 9 months ago
2007
On a multi-dimensional text categorization task, we compare the effectiveness of a feature based approach with the use of a stateof-the-art sequential learning technique that has ...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We investigate reducing the dimensionality of image sets by using principal component analysis on wavelet coefficients to maximize edge energy in the reduced dimension images. Lar...
SCN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Lattice reduction is known to be a very powerful tool in modern cryptanalysis. In the literature, there are many lattice reduction algorithms that have been proposed with...