Adjustable Autonomy (AA) is the name given to a variety of approaches to the task of giving outside entities the ability to change the level of autonomy of agents in an autonomous ...
Visual tracking is a challenging problem, as an object may change its appearance due to viewpoint variations, illumination changes, and occlusion. Also, an object may leave the fie...
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of suc...
Classifying network flows by their application type is the backbone of many crucial network monitoring and controlling tasks, including billing, quality of service, security and tr...
Roni Bar-Yanai, Michael Langberg, David Peleg, Lia...
In this paper, we present RAMBO, an algorithm for emulating a read/write distributed shared memory in a dynamic, rapidly changing environment. RAMBO provides a highly reliable, hi...
Seth Gilbert, Nancy A. Lynch, Alexander A. Shvarts...