327 search results - page 44 / 66 » Dimensionality Reduction for Image Retrieval |
IGARSS
2010
13 years 7 months ago
2010
In this paper, we investigate the use of the watershed transformation for integrating spatial and spectral information in the process of endmember extraction for spectral unmixing...
ICIAP
2003
ACM
14 years 2 months ago
2003
ACM
Principal component analyses (PCA) has been widely used in reduction of the dimensionality of datasets, classification, feature extraction, etc. It has been combined with many oth...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
FGR
2000
IEEE
14 years 1 months ago
2000
IEEE
We present two methods using mixtures of linear subspaces for face detection in gray level images. One method uses a mixture of factor analyzers to concurrently perform clustering...
TMI
2011
13 years 3 months ago
2011
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...