This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary d...
With this contribution we present a design and development method for distributed applications, which are running on top of advanced object middleware platforms. We introduce the ...
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
The automatic allocation of enterprise workload to resources can be enhanced by being able to make `whatif' response time predictions, whilst different allocations are being c...
David A. Bacigalupo, Jano van Hemert, Asif Usmani,...