We propose a novel framework for synchronization in feature-based data embedding systems. The framework is tolerant to de-synchronizing errors in feature estimates, which have hit...
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. J...
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
Continued advances in mobile networks and positioning technologies have created a strong market push for location-based applications. Examples include location-aware emergency resp...
We study hierarchical clustering schemes under an axiomatic view. We show that within this framework, one can prove a theorem analogous to one of J. Kleinberg (Kleinberg, 2002), i...