A theoretical framework for matrix-based feature extraction algorithms with its application to image recognition

International Journal of Image and Graphics

Volumn 8, Issue 1, 2008, Pages 1-23

  Feng, Guiyu ^a   Zhang, David ^b   Yang, Jian ^b   Hu, Dewen ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Matrix based methods; Theoretical framework; Two dimensional discriminant embedding analysis (2DDEA); Two dimensional LDA (2DLDA); Two dimensional LPP (2DLPP); Two dimensional PCA (2DPCA)

Indexed keywords

DISCRIMINANT ANALYSIS; EMBEDDINGS; EXTRACTION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE RECOGNITION;

DISCRIMINANT EMBEDDING; FEATURE EXTRACTION ALGORITHMS; THEORETICAL FRAMEWORK; TWO DIMENSIONAL LINEAR DISCRIMINANT ANALYSIS (2DLDA); TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS (2DPCA); TWO-DIMENSIONAL LOCALITY PRESERVING PROJECTION (2DLPP); TWO-DIMENSIONAL PCA (2DPCA); UNSUPERVISED DISCRIMINANT PROJECTION (UDP);

GRAPH ALGORITHMS;

EID: 69849088898     PISSN: 02194678     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219467808002940     Document Type: Article

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