2. Obtain the gray-levelgradient magnitude. 3. Derive the threshold surface by deforming the original image gray-level surface. 4. The thresholdsurface interpolation. 5. Segmentati...
C. C. Leung, Francis H. Y. Chan, Paul C. K. Kwok, ...
—This paper presents Algorithm-level REcomputing with Shifted Operands (ARESO), which is a new register transfer (RT) level time redundancy-based concurrent error detection (CED)...
Abstract. As state-of-the-art attack detection technology becomes more prevalent, attackers are likely to evolve, employing techniques such as polymorphism and metamorphism to evad...
Michalis Polychronakis, Kostas G. Anagnostakis, Ev...
An important area of data mining is anomaly detection, particularly for fraud. However, little work has been done in terms of detecting anomalies in data that is represented as a g...
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...