An empirical study of two typical locality preserving linear discriminant analysis methods

Neurocomputing

Volumn 73, Issue 10-12, 2010, Pages 1587-1594

  Qiao, Lishan ^a,b   Zhang, Limei ^a,b   Chen, Songcan ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b LIAOCHENG UNIVERSITY   (China)

Author keywords

Graph construction; Linear discriminant analysis; Locality preserving regularizer; Semi supervised learning

Indexed keywords

BENCHMARK DATASETS; EMPIRICAL STUDIES; GLOBALITY; GRAPH CONSTRUCTION; LAPLACIANS; LINEAR DISCRIMINANT ANALYSIS; REGULARIZED DISCRIMINANT ANALYSIS; REGULARIZER; SEMI-SUPERVISED; SEMI-SUPERVISED ALGORITHM; SEMI-SUPERVISED LEARNING; TWO-POINT;

FACE RECOGNITION; SUPERVISED LEARNING;

DISCRIMINANT ANALYSIS;

ALGORITHM; ARTICLE; CLASSIFIER; DATA BASE; DISCRIMINANT ANALYSIS; ILLUMINATION; IMAGE ANALYSIS; PRIORITY JOURNAL; SAMPLE SIZE;

EID: 77952551518     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2009.10.022     Document Type: Article

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