While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
This paper presents a novel reconfigurable data flow processing architecture that promises high performance by explicitly targeting both fine- and course-grained parallelism. This...
Charles L. Cathey, Jason D. Bakos, Duncan A. Buell
Abstract. In order to take full advantage of high-end computing platforms, scientific applications often require modifications to source codes, and to their build systems that ge...
In this paper, we present a Dynamic Load Balancing (DLB) policy for problems characterized by a highly irregular search tree, whereby no reliable workload prediction is available....
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,...