Catálogo de publicaciones - libros
Applied Graph Theory in Computer Vision and Pattern Recognition
Abraham Kandel ; Horst Bunke ; Mark Last (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics)
Disponibilidad
Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-68019-2
ISBN electrónico
978-3-540-68020-8
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2007
Cobertura temática
Tabla de contenidos
Multiresolution Image Segmentations in Graph Pyramids
Walter G. Kropatsch; Yll Haxhimusa; Adrian Ion
Palabras clave: Span Tree; Minimum Span Tree; Dual Graph; Primal Graph; Noisy Pixel.
Part I - Applied Graph Theory for Low Level Image Processing and Segmentation | Pp. 3-41
A Graphical Model Framework for Image Segmentation
Rui Huang; Vladimir Pavlovic; Dimitris N. Metaxas
Part I - Applied Graph Theory for Low Level Image Processing and Segmentation | Pp. 43-63
Digital Topologies on Graphs
Alain Bretto
Palabras clave: Topological Space; Bipartite Graph; Simple Game; Comparability Graph; Digital Space.
Part I - Applied Graph Theory for Low Level Image Processing and Segmentation | Pp. 65-82
How and Why Pattern Recognition and Computer Vision Applications Use Graphs
Donatello Conte; Pasquale Foggia; Carlo Sansone; Mario Vento
Palabras clave: Input Graph; Graph Match; Video Database; Pattern Recognition Letter; Edge Attribute.
Part II - Graph Similarity, Matching, and Learning for High Level Computer Vision and Pattern Recognition | Pp. 85-135
Efficient Algorithms on Trees and Graphs with Unique Node Labels
Gabriel Valiente
Palabras clave: Edit Distance; Graph Match; Node Label; Edit Operation; Graph Isomorphism.
Part II - Graph Similarity, Matching, and Learning for High Level Computer Vision and Pattern Recognition | Pp. 137-149
A Generic Graph Distance Measure Based on Multivalent Matchings
Sébastien Sorlin; Christine Solnon; Jean-Michel Jolion
Palabras clave: Graph Match; Isomorphism Problem; Subgraph Isomorphism; Common Subgraph; Graph Edit Distance.
Part II - Graph Similarity, Matching, and Learning for High Level Computer Vision and Pattern Recognition | Pp. 151-181
Learning from Supervised Graphs
Joseph Potts; Diane J. Cook; Lawrence B. Holder
Palabras clave: Input Graph; Minimum Description Length; Inductive Logic Programming; Frequent Subgraph; Minimum Description Length Principle.
Part II - Graph Similarity, Matching, and Learning for High Level Computer Vision and Pattern Recognition | Pp. 183-201
Graph-Based and Structural Methods for Fingerprint Classification
Gian Luca Marcialis; Fabio Roli; Alessandra Serrau
Palabras clave: Feature Vector; Fusion Rule; Structural Method; Input Graph; Graph Match.
Part III - Special Applications | Pp. 205-226
Graph Sequence Visualisation and its Application to Computer Network Monitoring and Abnormal Event Detection
Horst Bunke; P. Dickinson; A. Humm; Ch. Irniger; M. Kraetzl
Palabras clave: Intrusion Detection System; Graph Match; Graph Distance; Edit Operation; Graph Isomorphism.
Part III - Special Applications | Pp. 227-245
Clustering of Web Documents Using Graph Representations
Adam Schenker; Horst Bunke; Mark Last; Abraham Kandel
Part III - Special Applications | Pp. 247-265