Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
Sensor networks have opened new horizons and opportunities for a variety of environmental monitoring, surveillance and healthcare applications. One of the major tasks of sensor ne...
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
The most costly spatial operation in spatial databases is a spatial join with combines objects from two data sets based on spatial predicates. Even if the execution time of sequen...
In this paper we present a parallel implementation of T–Coffee — a widely used multiple sequence alignment package. Our software supports a majority of options provided by the...
Jaroslaw Zola, Xiao Yang, Adrian Rospondek, Sriniv...