Learning structural shape descriptions from examples

Pattern Recognition Letters

Volumn 23, Issue 12, 2002, Pages 1427-1437

  Cordella, L P ^a   Foggia, P ^a   Sansone, C ^a   Vento, M ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Attributed relational graphs; Inductive learning; Shape prototyping; Structural descriptions

Indexed keywords

DATA STRUCTURES; DATABASE SYSTEMS; GRAPH THEORY; LEARNING ALGORITHMS; PROBLEM SOLVING;

ATTRIBUTED RELATIONAL GRAPHS (ARG);

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0036778835     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(02)00103-4     Document Type: Article

References (19)

1. A general framework for adaptive processing of data structures
2. Mapping part-whole hierarchies into connectionist networks
3. Dynamic symbol structures in a connectionist network
4. Learning structural descriptions from examples
5. Rulegraphs for graph matching in pattern recognition
6. A comparative review of selected methods for learning from examples
7. Recognition and learning of a class of context-sensitive languages described by augmented regular expressions
8. Automatic learning and recognition of graphical symbols in engineering drawing
9. A shape analysis model with applications to a character recognition system
10. Shape recognition by integrating structural descriptions and geometrical/statistical transforms
11. Pattern recognition as rule-guided inductive inference
12. Learning logical definitions from relations
13. Symbolic vs. connectionist learning: An experimental comparison in a structured domain
14. An improved algorithm for matching large graphs
15. Plex languages
16. Similarity learning for graph-based image representations
17. Generation of image databases using attributed plex grammars