We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Instead of clustering video shots into scenes using low level image features, in this paper, we propose a rule-based model to extract simple dialog or action scenes. Through analy...
The paper deals with synthesis technique for designing circuits with cascade errors detection. The proposed technique is based on partitioning a scheme into a number of cascades f...
Ilya Levin, Vladimir Ostrovsky, Osnat Keren, Vladi...
Abstract. We propose an extension of the Finite State Machine framework in distributed systems, using input/output partial order automata (IOPOA). In this model, transitions can be...
Many natural problems in computer science concern structures like graphs where elements are not inherently ordered. In contrast, Turing machines and other common models of computa...