Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Power consumption within the memory hierarchy grows in importance as on-chip data caches occupy increasingly greater die area. Among dynamic power conservation schemes, horizontal...
In this paper, we give results relevant to sequential and distributed dynamic data structures for finding nearest neighbors in growth-restricted metrics. Our sequential data struc...
Kirsten Hildrum, John Kubiatowicz, Sean Ma, Satish...
Dynamic memory management is a significant source of complexity in the design and implementation of practical concurrent data structures. We study how hardware transactional memo...
Aleksandar Dragojevic, Maurice Herlihy, Yossi Lev,...