Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
Advancements in network technologies dramatically increased management complexity. Cognitive networking was introduced to deal with this problem, by providing algorithms for autono...
Dzmitry Kliazovich, Neumar Malheiros, Nelson L. S....
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
This paper considers the use of randomly generated directed graphs as neighborhoods for particle swarm optimizers (PSO) using fully informed particles (FIPS), together with dynamic...
Arvind S. Mohais, Rui Mendes, Christopher Ward, Ch...
We have proposed (, )-based flow regulation to reduce delay and backlog bounds in SoC architectures, where bounds the traffic burstiness and the traffic rate. The regulation is co...
Fahimeh Jafari, Zhonghai Lu, Axel Jantsch, Mohamma...