In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...
We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
We present a case study of developing a digital media indexing application, code-named MARVEL, on the STI Cell Broadband Engine (CBE) processor. There are two aspects of the targe...
Abstract--During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains ar...
Claudio Piciarelli, Christian Micheloni, Gian Luca...
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech em...