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147
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CATA
2009
15 years 23 days ago
Nearest Shrunken Centroid as Feature Selection of Microarray Data
The nearest shrunken centroid classifier uses shrunken centroids as prototypes for each class and test samples are classified to belong to the class whose shrunken centroid is nea...
Myungsook Klassen, Nyunsu Kim
103
Voted
ASUNAM
2011
IEEE
13 years 11 months ago
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks
Abstract—Community detection or cluster detection in networks is a well-studied, albeit hard, problem. Given the scale and complexity of modern day social networks, detecting “...
Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Ch...
94
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CORR
2008
Springer
159views Education» more  CORR 2008»
14 years 11 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
WACV
2007
IEEE
15 years 6 months ago
A Two-stage Algorithm for Shoreline Detection
Shoreline detection plays an important role in vision based navigation for autonomous surface vehicles (ASVs). It is a challenging task because of the diversity in near-bank scena...
Xiaojin Gong, Anbumani Subramanian, Christopher L....
MMSP
2008
IEEE
191views Multimedia» more  MMSP 2008»
15 years 6 months ago
Microscopic cell segmentation by parallel detection and fusion algorithm
—Automatic cell segmentation and tracking in optical microscope images plays a very important role in the study the behaviour of lymphocytes. The variable image contrasts, and es...
Eric Dahai Cheng, Subhash Challa, Rajib Chakravort...