Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Defocus imaging techniques, involving the capture and reconstruction of purposely out-of-focus images, have recently become feasible due to advances in deconvolution methods. This...
Matthew Trentacoste, Cheryl Lau, Mushfiqur Rouf, R...
In this paper, we propose Spacing-based Channel Occupancy Regulation (SCORE) MAC protocol that provides proportional service differentiation in terms of normalized throughput in w...
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
This paper focuses on the Noisy Iterated Prisoner's Dilemma, a version of the Iterated Prisoner's Dilemma (IPD) in which there is a nonzero probability that a "coop...