We study the problem of visualizing large networks and develop es for effectively abstracting a network and reducing the size to a level that can be clearly viewed. Our size reduc...
There are different approaches to pose estimation and registration of different body parts using voxel data. We propose a general bottom-up approach in order to segment the voxels...
Network data models are widely used to describe the connectivity between spatial features in GIS architectures. Recent applications demand that such models are editable in multius...
Petko Bakalov, Erik G. Hoel, Wee-Liang Heng, Vassi...
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
A staggering number of multimedia applications are being introduced every day. Yet, the inordinate delays encountered in retrieving multimedia documents make it difficult to use t...