We address in this paper the problem of scheduling for multiprocessor real-time systems with hard and soft tasks. Utility functions are associated to soft tasks to capture their r...
We propose a new architecture for a content protection system that conceals confidential data and algorithms in an FPGA as electrical circuits. This architecture is designed for a...
In this paper we present a novel view point independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model wit...
Extensive and deep paraphrase corpora are important for a variety of natural language processing and user interaction tasks. In this paper, we present an approach which i) collect...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...