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Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance
Chengjun Liu
Computer Science
Research output
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Contribution to journal
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Article
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peer-review
229
Scopus citations
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Dive into the research topics of 'Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance'. Together they form a unique fingerprint.
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Mathematics
Face Recognition
100%
Dimensionality
60%
Performance
35%
kernel
28%
Discriminant Analysis
28%
Pattern Recognition
26%
Feature Space
24%
Polynomial Model
22%
Fractional Powers
20%
Image Representation
18%
Framework
16%
Multi-class
15%
Nonlinear Mapping
14%
Baseline
12%
Experimental Results
11%
Gabor Filter
11%
Fisher Discriminant Analysis
9%
Multi-class Classification
9%
Pattern Classification
8%
Selectivity
8%
Illumination
7%
Locality
7%
Margin
6%
Classification Problems
6%
Integrate
6%
Unique Solution
5%
High-dimensional
4%
Experiment
4%
Class
1%
Engineering & Materials Science
Discriminant analysis
63%
Face recognition
56%
Pattern recognition
52%
Statistical Models
32%
Gabor filters
14%
Lighting
9%
Experiments
4%