— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...
— We introduce a low-complexity distributed slotted MAC protocol that can support all feasible arrival rates in a wireless backhaul network (WBN). For arbitrary wireless networks...
Abdul Kader Kabbani, Theodoros Salonidis, Edward W...
—The demand for efficient data dissemination/access techniques to find the relevant data from within a sensor network has led to the development of data-centric sensor networks...
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
—When model-checking reports that a property holds on a model, vacuity detection increases user confidence in this result by checking that the property is satisfied in the inte...