Structural Similarity: Applications to Object Recognition and Clustering

Structural Similarity: Applications to Object Recognition and Clustering

In this thesis, we propose many developments in the context of Structural Similarity. We address both node (local) similarity and graph (global) similarity. Concerning node similarity, we focus on improving the diffusive process leading to compute this similarity (e.g. Commute Times) by means of mod...

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Bibliographic Details
Main Author: Curado, Manuel
Other Authors: Escolano, Francisco
Format: Doctoral Thesis
Language:English
Published: Universidad de Alicante 2019
Subjects:
Graph densification
Cut similarity
Spectral clustering
Dirichlet problems
Random walkers
Commute Times
Graph algorithms
Regular Partition
Szemeredi
Alzheimer's disease
Graphs
Return Random Walk
Net4lap
Directed graphs
Spectral graph theory
Graph entropy
Mutual information
Manifold alignment
m-Best Graph Matching
Binary-Tree Partitions
QAP
Graph sparsification
Shape simplification
Alpha shapes
Ciencia de la Computación e Inteligencia Artificial
Online Access:http://hdl.handle.net/10045/98110

Internet

http://hdl.handle.net/10045/98110

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