|Research Interest: ||New frontiers in data and information fusion for pattern analysis and automated decision making with an emphasis on heterogeneous (e.g., multiple source, representation, granularity and uncertainty) data/information. Topics of interest include: pattern recognition, clustering, data fusion, computer vision, image processing, uncertainty modeling, explosive material detection, linguistic summarization of video, and scene understanding.|
|Publications: ||Price, S., Anderson, D., & Luke, R. H. (2014). An Improved Evolution-COnstructed (IECO) Features Framework. Symposium Series on Computational Intelligence. Florida. |
Hu, L., Anderson, D., Havens, T. C., & Keller, J. M. (2014). Efficient and Scalable Nonlinear Multiple Kernel Aggregation Using the Choquet Integral. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. France. [Abstract]
Scott, G., England, M., Melkowski, K., Fields, Z., & Anderson, D. (2014). GPU-based PostgreSQL Extensions for Scalable High-throughput Pattern Matching. International Conference on Pattern Recognition. Stockholm.
Scott, G., Backus, K., & Anderson, D. (2014). A Multilevel Parallel and Scalable Single-Host GPU Cluster Framework for Large-scale Geospatial Data Processing. International Geoscience and Remote Sensing Symposium. Canada.
Anderson, D., Price, S., & Havens, T. C. (2014). Regularization-Based Learning of the Choquet Integral. IEEE Int. Conf. Fuzzy Systems. China. [Abstract]
|Total Publications by this Author: 40|