Content-Based Image Retrieval (CBIR) is becoming one of the most vivid research area in computer vision. It is widely used in medical applications especially in computer aided diagnostic systems (CAD) ...

Learn how to use graph algorithms for solving different types of matching problems in data science, such as bipartite matching, weighted matching, stable matching, and network flow and linear ...

The graph is an essential data structure for representing relational information. When graphs are used to represent objects, comparing objects amounts to graph matching. Inexact graph matching is the ...

kernelization algorithm for bipartite graph matching. The algorithms we designed are included in dgmvm.cpp, dbmvm.cpp and dgmvm.h. The variants of the kasi algorithm are included in kasi_variant.cpp.

Discover a novel symbolic algorithm for maximum weighted matching in bipartite graphs. Improve results for large-scale optimization problems with efficient manipulation of Boolean functions. Explore ...

A new algorithm efficiently solves the graph isomorphism problem, which has puzzled computer scientists for decades.

SIGMA is an indexing system for inexact graph matching.Given a query graph and fixed a maximum number of edge misses, SIGMA looks for all the inexact matches of the query in the database of target ...