In real-world applications, clustering or classification can usually be improved by fusing information from different views. Therefore, unsupervised representation learning on multi-view data becomes a compelling topic in machine learning. this paper, we propose novel and flexible model termed Collaborative Multi-View Information Bottleneck Networks (CMIB-Nets), which comprehensively explores t...

Dynamic Performance Stubs support performance improvement. They can be used to identify “hidden” bottlenecks and also to provide better estimations of the gain from performance improvement. The idea behind these stubbing mechanism will be described, the core concept will be explained and a closer look on the possibility of creating stubs will be given. Furthermore an introduction on “How to use...

Lijie Heng 9032366867 Contributions of the Paper This paper investigates potential non-access bottlenecks which may arise after fixing the bottlenecks at the edges of the network by updating the access links in the future. The first contribution of this paper is to propose a good method for measuring the non-access Internet bottleneck links by choosing representative sources and destinations. B...