This paper describes issues related to integrating image analysis techniques into case-based reasoning. Although the approach is generic, a high-throughput protein crystallization...
Igor Jurisica, Phil Rogers, Janice I. Glasgow, Suz...
In this paper, we describe a set of compiler analyses and an implementation that automatically map a sequential and un-annotated C program into a pipelined implementation, targete...
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Image contour detection is fundamental to many image
analysis applications, including image segmentation, object
recognition and classification. However, highly accurate
image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
This paper reports on a new approach for visualizing multi-field MRI or CT datasets in an immersive environment with medical applications. Multi-field datasets combine multiple sc...