We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
Most variational active contour models are designed to find the “desirable” local minima of data-dependent energy functionals with the hope of avoiding undesirable configurat...
In this paper, we introduce a new security property which intends to capture the ability of a cryptographic protocol being resistant to denial of service. This property, called im...
Abstract—This paper illustrates how the functionalities of monitoring/control systems, within an agent–based framework, can be improved by the adoption of Knowledge–Based tec...
Data structures define how values being computed are stored and accessed within programs. By recognizing what data structures are being used in an application, tools can make app...