PAFS - An efficient method for classifier-specific feature selection

2016 ◽  
Author(s):  
Pham Quang Huy ◽  
Alioune Ngom ◽  
Luis Rueda
Keyword(s):  
Feature Selection ◽  
Efficient Method

An Efficient Method for Solder Joint Inspection Based on Statistical Learning

2011 ◽  
Vol 121-126 ◽  
pp. 4931-4935
Author(s):  
Yong Cong Kuang ◽  
Gao Fei Ouyang ◽  
Hong Wei Xie ◽  
Xian Min Zhang
Keyword(s):  
Feature Selection ◽  
Solder Joint ◽  
Statistical Learning ◽  
Efficient Method ◽  
Solder Joints ◽  
Sampling Algorithm ◽  
Inspection Method ◽  
Defect Type ◽  
Imbalance Problem ◽  
Solder Joint Inspection

To improve the performance of current solder joint inspection method, an efficient method based on statistical learning is proposed in this paper. In the method, the solder was divided into several sub-regions to determine the defect type. To resolve imbalance problem, an improved over-sampling algorithm was proposed in which the synthetics samples are generated between the boundary samples and their neighbors. AdaBoost was used for feature selection and classification for every sub-region. Experiments results showed that the defects of solder joints can be identified properly using the proposed algorithm.

Feature Selection Strategies and Perceptual Expertise in Configuration Search Tasks

2011 ◽  
Author(s):  
Lindsey M. Kitchell ◽  
Francisco J. Parada ◽  
Brandi L. Emerick ◽  
Tom A. Busey
Keyword(s):  
Feature Selection ◽  
Perceptual Expertise ◽  
Search Tasks ◽  
Selection Strategies

BLIND FEATURE SELECTION AND EXTRACTION IN A 3D IMAGE CUBE

2012 ◽  
Vol 19 (2) ◽  
pp. 97-111 ◽  
Author(s):  
Muhammad Ahmad ◽  
Syungyoung Lee ◽  
Ihsan Ul Haq ◽  
Qaisar Mushtaq
Keyword(s):  
Feature Selection ◽  
3D Image ◽  
Image Cube
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