We propose a method for the detection of trends in social bookmarking systems. Compared to other work in this emerging field, our approach has a more sound statistical basis. In o...
Alexander Korth, Christian Bauckhage, Florian Metz...
A new, combined human activity detection method is proposed. Our method is based on Efros et al.'s motion descriptors[2] and Ke et al.'s event detectors[3]. Since both m...
Josef Kittler, Seiji Ishikawa, Takehito Ogata, Wil...
Abstract. We introduce the design and implementation of dynamic separation (DS) as a programming discipline for using transactional memory. Our approach is based on the programmer ...
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
We present a low-cost on-line system for clock skew management in integrated circuits. Our Built-In Clock Skew System (BICSS) uses a centralized approach to identify, quantify and...