We study the problem of minimizing the expected loss of a linear predictor while constraining its sparsity, i.e., bounding the number of features used by the predictor. While the r...
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...
— We characterize and improve an existing infrared relative localization/communication module used to find range and bearing between robots in small-scale multi-robot systems. M...
The paper discusses three IST projects focusing on the disclosure of video content via a combination of low-level multimodal feature analysis, abstraction, and browsing tools. The ...
The Web is a hypertextual environment in permanent evolution. There are new technologies and Web publishing behaviors emerging everyday. This study presents trends on the evolutio...