Motivated by several applications, we introduce various distance measures between “top k lists.” Some of these distance measures are metrics, while others are not. For each of...
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
—In this paper, we will study a special Connected Dominating Set (CDS) problem — between any two nodes in a network, there exists at least one shortest path, all of whose inter...
Graphs provide an efficient tool for object representation in various computer vision applications. Once graph-based representations are constructed, an important question is how ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...