3006 search results - page 22 / 602 » Dimensionality reduction and generalization |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
WSC
2004
13 years 10 months ago
2004
This paper investigates the adequacy of various principal components (p.c.) approaches as data reduction schemes for processing contingent claim valuations on baskets of equities....
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
CDC
2009
IEEE
14 years 1 months ago
2009
IEEE
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
PKDD
2004
Springer
14 years 2 months ago
2004
Springer
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...