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...
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we c...
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Abstract-This paper proposes an adaptive bandwidth control algorithm that efficiently provides aggregate loss guarantee to resolve the problem of inefficient bandwidth allocation d...
Peerapon Siripongwutikorn, Sujata Banerjee, David ...