Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
In this paper, we focus on an aspect of distributed XQuery processing that involves data exchanges between processor elements. We first address problems of distributed XML query p...
Makoto Yui, Jun Miyazaki, Shunsuke Uemura, Hirokaz...
Modern Internet communities need to integrate and query structured information. Employing current information integration infrastructure, data integration is still a very costly e...
In the paper, an evolutionary approach to test generation for functional BIST is considered. The aim of the proposed scheme is to minimize the test data volume by allowing the dev...
Y. A. Skobtsov, D. E. Ivanov, V. Y. Skobtsov, Raim...
This paper presents Interleaved Stratified Timer Wheels as a novel priority queue data structure for traffic shaping and scheduling in packet-switched networks. The data structure ...