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CIKM
2010
Springer
13 years 4 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
ICIP
2004
IEEE
14 years 9 months ago
Practical low bit rate predictive image coder using multi-rate processing and adaptive entropy coding
The modified Differential Pulse Coded Modulation (DPCM) codec with multi-rate processing has been shown to able to code source with monotonically decreasing spectrum efficiently a...
Anna N. Kim, Tor A. Ramstad
CIBCB
2005
IEEE
14 years 1 months ago
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
Thorhildur Juliusdottir, David Corne, Ed Keedwell,...
SDM
2010
SIAM
168views Data Mining» more  SDM 2010»
13 years 5 months ago
Convex Principal Feature Selection
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
Mahdokht Masaeli, Yan Yan, Ying Cui, Glenn Fung, J...
IGARSS
2010
13 years 5 months ago
Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation
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...
Maciel Zortea, Antonio J. Plaza