Abstract—Transactional memory promises to generalize transactional programming to mainstream languages and data structures. The purported benefit of transactions is that they ar...
Abstract-- In this paper we study different distributed estimation schemes for stochastic discrete time linear systems where the communication between the sensors and the estimatio...
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Abstract. As mammography moves towards completely digital and produces prohibitive amounts of data, compression plays an increasingly important role. Although current lossless comp...
Jun Zheng, Olac Fuentes, Ming-Ying Leung, Elais Ja...
Abstract. We present an approach for knowledge-free and unsupervised recognition of compound nouns for languages that use one-wordcompounds such as Germanic and Scandinavian langua...