This paper presents an analysis of the design of classifiers for use in a hierarchical object recognition approach. In this approach, a cascade of classifiers is arranged in a tr...
Bjoern Stenger, Arasanathan Thayananthan, Philip H...
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
Since 1990 the Web has changed from a distributed hypertext system to an efficient environment for application delivery. Due to the legacy of the Web implementation model the deve...
Martin Gaedke, Christian Segor, Hans-Werner Geller...
act Nowadays people are strongly dependent on cars for doing their tasks, but they usually are not aware of hazards which are awaiting them. For instance, since people travel with ...
Sara Sharifi Sedeh, Reza Sharifi Sedeh, Keivan Nav...
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...