In this paper we describe a new cluster model which is based on the concept of linear manifolds. The method identifies subsets of the data which are embedded in arbitrary oriented...
In the geometric data model [6], spatio-temporal data are modelled as a finite collection of triangles that are transformed by time-dependent affinities. To facilitate querying an...
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
—The Burrows-Wheeler Transform (BWT) is the basis for many of the most effective compression and selfindexing methods used today. A key to the versatility of the BWT is the abili...
Matthias Petri, Gonzalo Navarro, J. Shane Culpeppe...