Rulegraphs for graph matching in pattern recognition

Pattern Recognition

Volumn 27, Issue 9, 1994, Pages 1231-1247

  Pearce, Adrian ^a   Caelli, Terry ^a   Bischof, Walter F ^b,c  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b CURTIN UNIVERSITY   (Australia)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

A* search; Classification; Evidence Based Systems; Feature indexing; Graph matching; Machine learning; Pattern recognition; Relational structures; Structural descriptions; Subgraph isomorphism

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATA STRUCTURES; GRAPH THEORY; INDEXING (OF INFORMATION); KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS;

EVIDENCE BASED SYSTEMS; FEATURE INDEXING; GRAPH MATCHING; MACHINE LEARNING; RELATIONAL STRUCTURES; RULEGRAPHS; STRUCTURAL DESCRIPTION; SUBGRAPH ISOMORPHISM;

PATTERN RECOGNITION;

EID: 0028496648     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(94)90007-8     Document Type: Article

References (37)

1. Structural descriptions and inexact matching
2. Finding a Maximum Independent Set
3. Model design in the prospector consultant system for mineral exploration
4. Variations on the evidence-based object recognition theme
5. Variations on the evidence-based object recognition theme
6. Cad-based computer vision: From cad models to relational graphs
7. Decision trees and decision making
8. An Image Understanding System Using Attributed Symbolic Representation and Inexact Graph-Matching
9. Where the really hard problems are
10. 3D object recognition using invariant feature indexing of interpretation tables
11. Model matching in robot vision by subgraph isomorphism
12. Computational aspects of a branch and bound algorithm for quadratic zero-one programming
13. An exact algorithm for the maximum clique problem
14. Scene labeling by relaxation operations
15. Discrete relaxation for matching relational structures
16. 3-D object recognition using bipartite matching embedded in discrete relaxation
17. Evidence-based recognition of 3-D objects
18. Learning logical definitions from relations
19. Uncertainty management in expert systems
20. An improved rule generation method for evidenced-based classification systems
21. An introduction to computing with neural nets
22. An analysis of four uncertainty calculi
23. Subgraph isomorphism, matching relational structures and maximal cliques
24. Range image segmentation based on differential geometry: a hybrid approach
25. A symbolic object-oriented picture interpretation network: SOO-PIN
26. On the symbolic interpretation of traffic scenes
27. A metric for comparing relational descriptions