Abstract. This paper presents a novel framework for detecting abnormal pedestrian and vehicle behaviour by modelling cross-correlation among different co-occurring objects both loc...
Abstract— We consider two-hop communication of a delaysensitive, memoryless Gaussian source over two independent paths in an ad-hoc network. To capture the behavior an ad-hoc net...
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Abstract. How to create effective body animations for virtual agents with emotions remains the state of the art for human animators and a great challenge for computer scientists. I...
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...