Challenger: a multi-agent system for distributed resource allocation
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Decreasing isosurface complexity via discrete fitting
Computer Aided Geometric Design
Parallelization of Classification Algorithms for Medical Imaging on a Cluster Computing System
CBMS '98 Proceedings of the Eleventh IEEE Symposium on Computer-Based Medical Systems
Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
| Hi-index | 0.00 |
Increasing spatial and spectral image resolution, coupled with increased expectations both in visualization output and in the time-responsiveness of that output relative to certain clinical tasks have led to a comcomitant increase in the role of parallel and distributed solutions to the visualization problem. In this paper, we examine the distribution of classification and visualization tasks over a heterogeneous distributed architecture in the context of one specific visualization problem viz. the directed visualization of small-scale structures from the Visible Human Dataset. Specifically, we examine a Challenger-like architecture in which tasks are dynamically bid onto and transported across the fabric under the control of agents.