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Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition
Christopher Reale
, Hyungtae Lee
, Heesung Kwon
,
Rama Chellappa
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Dive into the research topics of 'Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition'. Together they form a unique fingerprint.
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Keyphrases
Face Recognition
100%
Deep Network
100%
Cross-spectrum
100%
Hyperparameters
100%
Sparsity Regularization
50%
Deep Learning
50%
Machine Learning Problems
50%
Group Sparsity
50%
Optimal Network Design
50%
Face Database
50%
Heterogeneous Face Recognition
50%
Number of Nodes
50%
Computer Science
Optical Spectrum
100%
Facial Recognition
100%
Sparsity
33%
Regularization
33%
Learning Problem
33%
Optimal Network
33%
Deep Learning Method
33%
Machine Learning
33%
Learning System
33%
Network Structure
33%
Leaning Parameter
33%
Cross-Validation
33%