Exploding amounts of multimedia data increasingly require automatic indexing and classification, e.g. training classifiers to produce high-level features, or semantic concepts, ch...
Wei Jiang, Eric Zavesky, Shih-Fu Chang, Alexander ...
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
The development of lightweight sensing and communication protocols is a key requirement for designing resource constrained sensor networks. This paper introduces a set of efficien...
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
Conventional cache models are not suited for real-time parallel processing because tasks may flush each other’s data out of the cache in an unpredictable manner. In this way th...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...