Sciweavers

3006 search results - page 25 / 602
» Dimensionality reduction and generalization
Sort
View
ICIP
2006
IEEE
14 years 10 months ago
Wavelet Principal Component Analysis and its Application to Hyperspectral Images
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...
Maya R. Gupta, Nathaniel P. Jacobson
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 2 months ago
A Discriminant Analysis for Undersampled Data
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
Matthew Robards, Junbin Gao, Philip Charlton
ICML
2010
IEEE
13 years 9 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
BMCBI
2008
157views more  BMCBI 2008»
13 years 8 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
CVPR
2007
IEEE
14 years 3 months ago
A Graph Reduction Method for 2D Snake Problems
Energy-minimizing active contour models (snakes) have been proposed for solving many computer vision problems such as object segmentation, surface reconstruction, and object track...
Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching...