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» Feature Selection in Clustering Problems
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SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
14 years 6 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
ICML
2005
IEEE
14 years 9 months ago
Online feature selection for pixel classification
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
Karen A. Glocer, Damian Eads, James Theiler
CVPR
2005
IEEE
14 years 11 months ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
ICASSP
2009
IEEE
14 years 3 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...
IJCAI
2007
13 years 10 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...