The field of information retrieval has traditionallyfocused on s consistingof titlesand abstracts. As a consequence, many underlying assumptions must be altered for retrieval fro...
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
This paper proposes an optimal approach to infinite-state action planning exploiting automata theory. State sets and actions are characterized by Presburger formulas and represent...
The global network of datacenters is emerging as an important distributed systems paradigm -- commodity clusters running high-performance applications, connected by high-speed `la...
Mahesh Balakrishnan, Tudor Marian, Ken Birman, Hak...
Abstract. In this paper we tackle the problem of designing and implementing a framework for programming service coordination policies. In particular, we illustrate the design and t...
Gian Luigi Ferrari, Roberto Guanciale, Daniele Str...