Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
Current camera-monitor teleconferencing applications produce unrealistic imagery and break any sense of presence for the participants. Other capture/display technologies can be us...
Ruigang Yang, Michael S. Brown, W. Brent Seales, H...
— Extracting useful correlation from a dataset has been extensively studied. In this paper, we deal with the opposite, namely, a problem we call correlation hiding (CH), which is...
Yufei Tao, Jian Pei, Jiexing Li, Xiaokui Xiao, Ke ...
The simulated evaluation of memory management policies relies on reference traces—logs of memory operations performed by running processes. No existing approach to reference tra...