The median and mean graph are basic building blocks for statistical graph analysis and unsupervised pattern recognition methods such as central clustering and graph quantization. ...
Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
We propose a novel method for computing a geometrically consistent and spatially dense matching between two 3D shapes. Rather than mapping points to points we match infinitesimal...
Thomas Windheuser, Ulrich Schlickewei, Frank R. Sc...
Many applications in computer vision require comparisons
between two images of the same scene. Comparison
applications usually assume that corresponding regions in
the two image...
Abstract. We have presented an optimal algorithm for minimal cost loop problem (MCLP), which consists of finding a set of minimum cost loops rooted at a source node. In the MCLP, t...