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» Dimensionality Reduction for Classification
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109
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AINA
2010
IEEE
15 years 8 months ago
Grid of Segment Trees for Packet Classification
—Packet classification problem has received much attention and continued to be an important topic in recent years. In packet classification problem, each incoming packet should b...
Yeim-Kuan Chang, Yung-Chieh Lin, Chen-Yu Lin
BMCBI
2006
173views more  BMCBI 2006»
15 years 3 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
126
Voted
BMCBI
2010
208views more  BMCBI 2010»
15 years 3 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
122
Voted
IDA
2002
Springer
15 years 3 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
143
Voted
ICIP
2006
IEEE
16 years 5 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...