Recent developments in graph matching
H Bunke - … Conference on Pattern Recognition. ICPR-2000, 2000 - ieeexplore.ieee.org
Graphs are a powerful and versatile tool useful in various subfields of science and
engineering. In many applications, for example, in pattern recognition and computer vision, it …
engineering. In many applications, for example, in pattern recognition and computer vision, it …
Graph-based text representation and matching: A review of the state of the art and future challenges
AH Osman, OM Barukub - IEEE Access, 2020 - ieeexplore.ieee.org
Graph-based text representation is one of the important preprocessing steps in data and text
mining, Natural Language Processing (NLP), and information retrieval approaches. The …
mining, Natural Language Processing (NLP), and information retrieval approaches. The …
[PDF][PDF] Matching Structure and Semantics: A Survey on Graph-Based Pattern Matching.
B Gallagher - AAAI Fall Symposium: Capturing and Using Patterns …, 2006 - cdn.aaai.org
The task of matching patterns in graph-structured data has applications in such diverse
areas as computer vision, biology, electronics, computer aided design, social networks, and …
areas as computer vision, biology, electronics, computer aided design, social networks, and …
Runtime programmable switches
Programming the network to add, remove, and modify functions has been a longstanding
goal in our community. Unfortunately, in today's programmable networks, the velocity of …
goal in our community. Unfortunately, in today's programmable networks, the velocity of …
[PDF][PDF] Graph matching: Theoretical foundations, algorithms, and applications
H Bunke - Proc. Vision Interface, 2000 - ai.rug.nl
Graphs are a powerful and versatile tool useful in various subfields of science and
engineering. In many applications, for example, in pattern recognition and computer vision, it …
engineering. In many applications, for example, in pattern recognition and computer vision, it …
[BOOK][B] Graph classification and clustering based on vector space embedding
This book is concerned with a fundamentally novel approach to graph-based pattern
recognition based on vector space embedding of graphs. It aims at condensing the high …
recognition based on vector space embedding of graphs. It aims at condensing the high …
[BOOK][B] Bridging the gap between graph edit distance and kernel machines
M Neuhaus, H Bunke - 2007 - books.google.com
In graph-based structural pattern recognition, the idea is to transform patterns into graphs
and perform the analysis and recognition of patterns in the graph domain—commonly …
and perform the analysis and recognition of patterns in the graph domain—commonly …
[BOOK][B] Graph-theoretic techniques for web content mining
This book describes exciting new opportunities for utilizing robust graph representations of
data with common machine learning algorithms. Graphs can model additional information …
data with common machine learning algorithms. Graphs can model additional information …
Exact and inexact graph matching: Methodology and applications
Graphs provide us with a powerful and flexible representation formalism which can be
employed in various fields of intelligent information processing. The process of evaluating …
employed in various fields of intelligent information processing. The process of evaluating …
Graph data management and mining: A survey of algorithms and applications
Graph mining and management has become a popular area of research in recent years
because of its numerous applications in a wide variety of practical fields, including …
because of its numerous applications in a wide variety of practical fields, including …