In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
Nowadays numerous social images have been emerging on the Web. How to precisely label these images is critical to image retrieval. However, traditional image-level tagging methods...
Yang Yang, Yi Yang, Zi Huang, Heng Tao Shen, Feipi...
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
Abstract—Regular expression matching (REM) with nondeterministic finite automata (NFA) can be computationally expensive when a large number of patterns are matched concurrently....
As we move to large manycores, the hardware-based global checkpointing schemes that have been proposed for small shared-memory machines do not scale. Scalability barriers include ...