Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Kazuhiro Terajima The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656 Japan Kazuhiro_Terajima@ipc.i.u-tokyo.ac.jp Takashi Komuro The University of Tokyo 7-3-1 Hongo, Bu...
Understanding why the performance of a multithreaded program does not improve linearly with the number of cores in a sharedmemory node populated with one or more multicore process...
As multicore systems become the dominant mainstream computing technology, one of the most difficult challenges the industry faces is the software. Applications with large amounts ...
Hongtao Zhong, Mojtaba Mehrara, Steven A. Lieberma...