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» Kernel Methods for Pattern Analysis
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BMCBI
2006
173views more  BMCBI 2006»
13 years 10 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
ISBI
2006
IEEE
14 years 11 months ago
Automated tracking and modeling of microtubule dynamics
The method of microtubule tracking and dynamics analysis, presented here, improves upon the current means of manual and automated quantification of microtubule behavior. Key contr...
Motaz A. El Saban, Alphan Altinok, Austin J. Peck,...
CORR
2011
Springer
326views Education» more  CORR 2011»
13 years 5 months ago
Mining User Comment Activity for Detecting Forum Spammers in YouTube
Research shows that comment spamming (comments which are unsolicited, unrelated, abusive, hateful, commercial advertisements etc) in online discussion forums has become a common p...
Ashish Sureka
ISBI
2011
IEEE
13 years 2 months ago
Segmentation of anatomical branching structures based on texture features and graph cut
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
Tatyana Nuzhnaya, Erkang Cheng, Haibin Ling, Despi...
CVPR
2007
IEEE
15 years 23 days ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang