We introduce a new data structuring paradigm in which operations can be performed on a data structure not only in the present but also in the past. In this new paradigm, called ret...
Synchronous Data Flow Graphs (SDFGs) have proved to be a very successful tool for modeling, analysis and synthesis of multimedia applications targeted at both single- and multiproc...
Amir Hossein Ghamarian, Marc Geilen, Twan Basten, ...
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
Abstract. Due to improvements in image acquisition and storage technology, terabyte-sized databases of images are nowadays common. This abundance of data leads us to two basic prob...
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...