Computer Science
Feature Extraction
100%
Face Recognition
100%
Independent Component Analysis
100%
Classification Problem
50%
Class Information
50%
Experimental Result
25%
Unsupervised Learning
25%
Component Analysis
25%
Principal Components
25%
Conventional Method
25%
Supervised Classification
25%
Linear Discriminant
25%
Keyphrases
Feature Extraction
100%
Face Recognition
100%
International Cooperative Ataxia Rating Scale (ICARS)
100%
Classification Problem
50%
Face Database
50%
Class Information
50%
Principal Coordinate Analysis (PCoA)
25%
Unsupervised Learning Techniques
25%
Supervised Classification
25%
Yale
25%
Fisher Linear Discriminant
25%
Engineering
Independent Component Analysis
100%
Based Feature Extraction
100%
Classification Problem
50%
Experimental Result
25%
Principal Components
25%
Feature Extraction
25%
Component Analysis
25%
Conventional Method
25%
Fisher Linear Discriminant
25%
Neuroscience
Face Perception
100%
Independent Component Analysis
100%
Face
50%
Chemical Engineering
Unsupervised Learning
100%