We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...
This paper proposes a novel approach to color texture characterization and classification. Rather than developing new textural features, we propose to derive a family of new, redu...
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Background: In Eukaryotic genomes, different features including genes are not uniformly distributed. The integration of annotation information and genomic position of functional D...
Alessandro Coppe, Gian Antonio Danieli, Stefania B...