Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation

2018 ◽  
pp. 36-44 ◽  
Author(s):  
Ines Channoufi ◽  
Sami Bourouis ◽  
Nizar Bouguila ◽  
Kamel Hamrouni
Keyword(s):  
Feature Selection ◽  
Mixture Model ◽  
Video Segmentation ◽  
Constrained Mixture ◽  
Selection For

VARIATIONAL BAYES AND LOCALIZED FEATURE SELECTION FOR STUDENT'S t-MIXTURE MODELS

2013 ◽  
Vol 27 (06) ◽  
pp. 1350016 ◽  
Author(s):  
HUI ZHANG ◽  
Q. M. JONATHAN WU ◽  
THANH MINH NGUYEN
Keyword(s):  
Feature Selection ◽  
Mixture Models ◽  
Mixture Model ◽  
Real Data ◽  
Feature Saliency ◽  
Data Points ◽  
Selection For ◽  
Student’S T ◽  
T Distribution ◽  
Novel Algorithm

In this paper, we propose a novel algorithm for feature selection and model detection using Student's t-distribution based on the variational Bayesian (VB) approach. First, our method is based on the Student's t-mixture model (SMM) which has heavier tail than the Gaussian distribution and is therefore less sensitive to small numbers of data points and consequent precision-estimates of the components number. Second, the number of components, the local feature saliency and the parameters of the mixture model are simultaneously estimated by Bayesian variational learning. Experimental results using synthetic and real data demonstrate the improved robustness of our approach.

Chicken Algorithm Based Feature Selection For Arabic Information Searching System

2019 ◽  
pp. 389
Author(s):  
زينب عبدالأمير ◽  
علياء كريم عبدالحسن
Keyword(s):  
Feature Selection ◽  
Information Searching ◽  
Selection For

scholarly journals Fault Feature Selection for Distribution Network

2021 ◽  
Vol 1881 (2) ◽  
pp. 022080
Author(s):  
Zhiqiang Wu ◽  
Lizong Zhang ◽  
Gang Yu ◽  
Ying Wang ◽  
Tao Huang ◽  
...  
Keyword(s):  
Feature Selection ◽  
Distribution Network ◽  
Selection For
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