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CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 4 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
AIPR
2003
IEEE
14 years 3 months ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
ICPR
2008
IEEE
14 years 4 months ago
Computer graphics identification using genetic algorithm
This paper proposes the use of genetic algorithm to select an optimal feature set for distinguishing computer graphics from digital photographic images. Our previously developed a...
Wen Chen, Yun Q. Shi, Guorong Xuan, Wei Su
WWW
2005
ACM
14 years 10 months ago
Web data cleansing for information retrieval using key resource page selection
With the page explosion of WWW, how to cover more useful information with limited storage and computation resources becomes more and more important in web IR research. Using web p...
Yiqun Liu, Canhui Wang, Min Zhang, Shaoping Ma
IBPRIA
2009
Springer
14 years 1 months ago
Textural Features for Hyperspectral Pixel Classification
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For...
Olga Rajadell, Pedro García-Sevilla, Filibe...