In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
In this paper, we study the average case complexity of the Unique Games problem. We propose a natural semi-random model, in which a unique game instance is generated in several st...
Alexandra Kolla, Konstantin Makarychev, Yury Makar...
This paper presents S2E, a platform for analyzing the properties and behavior of software systems. We demonstrate S2E’s use in developing practical tools for comprehensive perfo...
Vitaly Chipounov, Volodymyr Kuznetsov, George Cand...
Abstract—Market-based mechanisms offer promising approaches for spectrum access in cognitive radio networks. In this paper, we focus on two market models, one with a monopoly pri...
Lei Yang, Hongseok Kim, Junshan Zhang, Mung Chiang...