Weighted piecewise LDA for solving the small sample size problem in face verification

IEEE Transactions on Neural Networks

Volumn 18, Issue 2, 2007, Pages 506-519

  Kyperountas, Marios ^a   Tefas, Anastasios ^a,b   Pitas, Ioannis ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF KAVALA   (Greece)

Author keywords

Face verification; Linear discriminant analysis (LDA); Small sample size (SSS) problem

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ERROR ANALYSIS; PATTERN MATCHING; PIECEWISE LINEAR TECHNIQUES; VERIFICATION;

FACE VERIFICATION; FISHER'S CRITERION; LINEAR DISCRIMINANT ANALYSIS (LDA); LINEAR SEPARATION; SMALL SAMPLE SIZE (SSS) PROBLEM;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; SAMPLE SIZE; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LINEAR MODELS; PATTERN RECOGNITION, AUTOMATED; SAMPLE SIZE;

EID: 34047098010     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.885038     Document Type: Article

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