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» Dimensionality Reduction with Image Data
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 1 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
DICTA
2003
14 years 11 months ago
Volumetric Medical Imaging Environment
We describe a graphical tool for analysis and visualization of three dimensional medical data. The application is intended to help physicians interpret the geometric structures of ...
Bobi Gilburd, Michal Holtzman-Gazit, Alon Spira, D...
BMCBI
2008
157views more  BMCBI 2008»
14 years 10 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...
ICASSP
2010
IEEE
14 years 10 months ago
Distance-based discretization of parametric signal manifolds
The characterization of signals and images in manifolds often lead to efficient dimensionality reduction algorithms based on manifold distance computation for analysis or classi...
Elif Vural, Pascal Frossard
PAMI
1998
88views more  PAMI 1998»
14 years 9 months ago
Large-Scale Parallel Data Clustering
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
Dan Judd, Philip K. McKinley, Anil K. Jain