A PCA approach for fast retrieval of structural patterns in attributed graphs

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 31, Issue 5, 2001, Pages 812-817

  Xu, L ^a   King, I ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Attributed graph (AG); Graph matching; Principal component analysis (PCA)

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; ERROR ANALYSIS; INFORMATION RETRIEVAL; PATTERN MATCHING; PRINCIPAL COMPONENT ANALYSIS; SPURIOUS SIGNAL NOISE;

ATTRIBUTED GRAPH MATCHING (AGM);

DATA STRUCTURES;

EID: 0035482004     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.956043     Document Type: Article

References (14)

1. Least square matching problems
2. Structural matching in computer vision using probabilistic relaxation
3. A graph distance measure for image analysis
4. A graduated assignment algorithm for graph matching
5. A simplified neuron model as a principal component analyzer
6. Similarity searching in medical image databases
7. Recognition of handprinted Chinese characters by constrained graph matching
8. An eigendecomposition approach to weighted graph matching problems
9. Robust principal component analysis by self-organizing rules based on statistical physics approach
10. Least mean square error reconstruction for self-organizing neural-nets