This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Motivation: Mapping of remote evolutionary links is a classic computational problem of much interest. Relating protein families allows for functional and structural inference on u...
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Information retrieval and data compression are the two main application areas where the rich theory of string algorithmics plays a fundamental role. In this paper, we consider one ...
Abstract. Motion capture, a currently active research area, needs estimation of the pose of the subject. This requires a match between a model and the 3D shape, constructed using a...