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) ...

Graph algorithms facilitate data matching by analyzing relationships and patterns within interconnected data. They resolve entity discrepancies, analyze link strength, power recommendation systems ...

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.

A graduated assignment algorithm for graph matching is presented which is fast and accurate even in the presence of high noise. By combining graduated nonconvexity, two-way (assignment) constraints, ...

A new algorithm efficiently solves the graph isomorphism problem, ... Reprints FAQ. A version of this article appears in the December 12, 2015 issue of Science News. Citations.

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 ...

With the aim of efficiently and accurately matching the large graphs common in big data, we present our graph matching algorithm, the Fast Approximate Quadratic assignment algorithm. We empirically ...

Moreover, graph algorithms can be used to coordinate multiple robots, such as for formation, communication, or collaboration. Add your perspective Help others by sharing more (125 characters min ...

In particular, a characterization only in terms of worst-case run times is unsatisfactory for symbolic algorithms. We are also working on extending our algorithm to general graphs. Moreover, it is ...

The maximum weighted matching problem in bipartite graphs is one of the classic combinatorial optimization problems, and arises in many different applications. Ordered binary decision diagram (OBDD) ...