We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Recent years have seen an immense increase in the complexity of geometric data sets. Today’s gigabyte-sized polygon models can no longer be completely loaded into the main memor...
We propose a web-based computer-assisted tool for diagnosing progress in international negotiation. The system is based on a general linear model. Innovative features of the progr...
We present a robust, noise-resistant criterion characterizing planelike skeletons in binary voxel objects. It is based on a distance map and the geodesic distance along the object...
Generally progressive procedural content in the context of 3D scene rendering is expressed as recursive functions where a finer level of detail gets computed on demand. Typical e...