The pervasive and mobile computing scenario is characterized by the high heterogeneity of devices used to access services, and by frequent changes in the user's context. In t...
Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance fu...
This poster paper outlines a method for a search based approach to the development of provably correct protocols. Categories and Subject Descriptors C.2.2 [Computer Communication ...
The use of textures provides a rich and diverse set of possibilities for the visualization of flow data. In this paper, we present methods designed to produce oriented and contro...
Francesca Taponecco, Timothy Urness, Victoria Inte...
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...