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» Using PageRank in Feature Selection
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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...
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Feature Selection for High Dimensional Face Image Using Self-organizing Maps
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zh...
ISNN
2005
Springer
14 years 2 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Choosing SNPs Using Feature Selection
A major challenge for genomewide disease association studies is the high cost of genotyping large number of single nucleotide polymorphisms (SNP). The correlations between SNPs, h...
Tu Minh Phuong, Zhen Lin, Russ B. Altman
ICASSP
2011
IEEE
13 years 16 days ago
Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer fun
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work [1], we discussed the single-channel sound source localization...
Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki