|Research Interest: ||New frontiers in data fusion for pattern analysis and decision making with an emphasis on heterogeneous (multi-source, mixed-type and mixed-uncertainty) data. 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: ||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. |
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]
Anderson, D., Price, S., & Havens, T. C. (2014). Regularization-Based Learning of the Choquet Integral. IEEE Int. Conf. Fuzzy Systems. China. [Abstract]
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.
Ball, J., Anderson, D., & Samiappan, S. (2014). Hyperspectral Band Selection Based on the Aggregation of Proximity Measures for Automatic Target Detection. SPIE. Baltimore, MD.
|Total Publications by this Author: 37|