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» A general algorithm for data dependence analysis
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ICIP
2008
IEEE
15 years 9 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
BIOINFORMATICS
2005
61views more  BIOINFORMATICS 2005»
15 years 2 months ago
Identification and measurement of neighbor-dependent nucleotide substitution processes
Abstract: The presence of different neighbor dependent substitution processes generates specific patterns of dinucleotide frequencies in all organisms. Based on a general framework...
Peter F. Arndt, Terence Hwa
SCIA
2007
Springer
122views Image Analysis» more  SCIA 2007»
15 years 9 months ago
Individual Discriminative Face Recognition Models Based on Subsets of Features
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
Line Harder Clemmensen, David Delgado Gomez, Bjarn...
CORR
2010
Springer
172views Education» more  CORR 2010»
15 years 3 months ago
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
Albert Fannjiang
IJKDB
2010
170views more  IJKDB 2010»
15 years 9 days ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...