2DPCA with L1-norm for simultaneously robust and sparse modelling

Neural Networks

Volumn 46, Issue , 2013, Pages 190-198

  Wang, Haixian ^a   Wang, Jing ^a  

^a Southeast University   (China)

Author keywords

2DPCA L1; Dimensionality reduction; Lasso regularization; Robust modelling

Indexed keywords

2DPCA-L1; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; IMAGE DATASETS; ITERATIVE ALGORITHM; LASSO REGULARIZATION; MULTIVARIATE DATA; TWO-DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS;

ALGORITHMS; PRINCIPAL COMPONENT ANALYSIS;

DATA HANDLING;

2DPCA L1 METHOD; ALGORITHM; ARTICLE; IMAGE ANALYSIS; LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCEDURES; STATISTICAL MODEL; STATISTICAL PARAMETERS;

2DPCA-L1; DIMENSIONALITY REDUCTION; LASSO REGULARIZATION; ROBUST MODELLING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS;

EID: 84879599851     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.06.002     Document Type: Article

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