We present a clustering scheme that combines a mode-seeking phase with a cluster merging phase in the corresponding density map. While mode detection is done by a standard graph-b...
Bidimensionality theory appears to be a powerful framework in the development of meta-algorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, ...
—Network coding is a method that promises to achieve the min-cut capacity in multicasts. However, pushing towards this gain in throughput comes with two sacrifices. Delay suffer...
Abstract— We consider the approximate sparse recovery problem, where the goal is to (approximately) recover a highdimensional vector x ∈ Rn from its lower-dimensional sketch Ax...
In recent years, existing computing schemes and paradigms have evolved towards more flexible, ad-hoc scalable frameworks. Nowadays, exchanging interactions between entities often ...