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ICA color space for pattern recognition
Chengjun Liu
, Jian Yang
Research output
:
Contribution to journal
›
Article
›
peer-review
69
Scopus citations
Overview
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Dive into the research topics of 'ICA color space for pattern recognition'. Together they form a unique fingerprint.
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Keyphrases
International Cooperative Ataxia Rating Scale (ICARS)
100%
Pattern Recognition
100%
Color Space
100%
Spacing Methods
66%
Face Recognition Grand Challenge
33%
Enhanced Fisher Model
33%
Pattern Vector
22%
Color Representation
22%
RGB Color Space
22%
Verification Rate
22%
False Acceptance Rate
22%
Face Verification
22%
Grand Challenges
11%
Large Database
11%
Concatenated
11%
Biometrics
11%
Separation Techniques
11%
Training Image
11%
Blind Source Separation
11%
C1-C2
11%
Discriminating Features
11%
Baseline Algorithm
11%
Principal Coordinate Analysis (PCoA)
11%
Query Image
11%
Target Image
11%
Pattern Classification Problem
11%
Color Image
11%
Color Image Classification
11%
Experimental Environment
11%
Color Component
11%
Engineering
Pattern Recognition
100%
Independent Component Analysis
100%
Color Space
100%
Space Method
66%
Color Image
44%
Image Representation
22%
Dimensionality
11%
Principal Components
11%
Image Classification
11%
Blind Signal Separation
11%
Component Analysis
11%
Independent Source
11%
Recognition Problem
11%
Target Image
11%
Computer Science
Independent Component Analysis
100%
Pattern Recognition
100%
Grand Challenge
44%
Face Recognition
33%
Image Representation
22%
False Accept Rate
22%
Pattern Vector
22%
Face Verification
22%
Biometrics
11%
Independent Source
11%
Training Image
11%
Image Classification
11%
Blind Signal Separation
11%
Principal Components
11%
Color Component
11%
Component Analysis
11%
Recognition Problem
11%