In the task of visual object categorization, semantic context can play the very important role of reducing ambiguity in objects' visual appearance. In this work we propose to...
Andrew Rabinovich, Andrea Vedaldi, Carolina Galleg...
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
This paper describes how we manage the interaction between different heterogeneous web services through choreographies within IRS-III. IRS-III is a framework and platform for deve...
The new generic scheme CFLP(D) has been recently proposed in [24] as a logical and semantic framework for lazy constraint functional logic programming over a parametrically given ...
In this paper we argue the case for integrating the distinctive functionalities of logic programs and production systems within an abductive logic programming agent framework. In t...