Add to ORKGthis paper as well as the N-Queen problem will also serve the purpose of those who are not interested in optimal solution, but a quick reasonable sub-optimal solution. As these algorithms are highly parallelizable, we are proceeding now with parallelization
Automatic recognition of objects in images is a difficult and challenging task in computer vision wh...
<p>Graph matching plays a central role in solving correspondence problems in computer vision. Graph ...
Matching is a set of edges in a graph which each of the edge does not share a common vertex. Maximum...
The graph matching optimization problem is an essential component for many tasks in computer vision,...
Graph matching has been widely used in various applications in computer vision due to its powerful p...
Many computer vision applications require a comparison between two objects, or between an object and...
Abstract. We present a novel approach to the weighted graph-matching problem in computer vision, bas...
As a fundamental problem in pattern recognition, graph matching has found a variety of applications ...
International audienceIn this paper we suggest an optimisation approach to visual matching. We assum...
A new algorithm for finding a maximum matching in a general graph is presented; its special feature ...
Matching: A matching M of a graph G = (V,E) is a subset of the edges in E such that no two edges in ...
In a world where new technologies emerge every year, the field of computer vision becomes more and m...
Abstract. Graph matching has a wide spectrum of computer vision ap-plications such as finding featur...
Parallel graph algorithm design is a very well studied topic. Many results have been presented for t...
Graph matching is a fundamental problem in Computer Vision and Machine Learning. We present two cont...
Automatic recognition of objects in images is a difficult and challenging task in computer vision wh...
<p>Graph matching plays a central role in solving correspondence problems in computer vision. Graph ...
Matching is a set of edges in a graph which each of the edge does not share a common vertex. Maximum...
The graph matching optimization problem is an essential component for many tasks in computer vision,...
Graph matching has been widely used in various applications in computer vision due to its powerful p...
Many computer vision applications require a comparison between two objects, or between an object and...
Abstract. We present a novel approach to the weighted graph-matching problem in computer vision, bas...
As a fundamental problem in pattern recognition, graph matching has found a variety of applications ...
International audienceIn this paper we suggest an optimisation approach to visual matching. We assum...
A new algorithm for finding a maximum matching in a general graph is presented; its special feature ...
Matching: A matching M of a graph G = (V,E) is a subset of the edges in E such that no two edges in ...
In a world where new technologies emerge every year, the field of computer vision becomes more and m...
Abstract. Graph matching has a wide spectrum of computer vision ap-plications such as finding featur...
Parallel graph algorithm design is a very well studied topic. Many results have been presented for t...
Graph matching is a fundamental problem in Computer Vision and Machine Learning. We present two cont...
Automatic recognition of objects in images is a difficult and challenging task in computer vision wh...
<p>Graph matching plays a central role in solving correspondence problems in computer vision. Graph ...
Matching is a set of edges in a graph which each of the edge does not share a common vertex. Maximum...