This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Automatically extracting temporal information from musical recordings is inarguably one of the most critical subtasks of many music information retrieval systems. In this paper we...
—Recently, mobile social software has become an active area of research and development. A multitude of systems have been proposed over the past years that try to follow the succ...
Marco von Arb, Matthias Bader, Michael Kuhn 0002, ...
This paper describes an audio-based video surveillance system which automatically detects anomalous audio events in a public square, such as screams or gunshots, and localizes the...
Giuseppe Valenzise, Luigi Gerosa, Marco Tagliasacc...
— The basic objective of this work is to assess the utility of two supervised learning algorithms AdaBoost and RIPPER for classifying SSH traffic from log files without using f...