We discuss the human role in hydropower system control, noting how it is different from other supervisory control environments and the typical shortcomings in current displays pro...
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Simulations utilizing virtual humans, or computer controlled agents, are more predominant now than ever. Many of these simulations suffer from a lack of effective, stimulating, and...