Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Many binary code encoding schemes based on hashing have been actively studied recently, since they can provide efficient similarity search, especially nearest neighbor search, an...
Recent work has shown that visual attributes are a powerful approach for applications such as recognition, image description and retrieval. However, fusing multiple attribute scor...
Walter J. Scheirer, Neeraj Kumar, Peter N. Belhume...
Modern DRAMs have multiple banks to serve multiple memory requests in parallel. However, when two requests go to the same bank, they have to be served serially, exacerbating the h...
Yoongu Kim, Vivek Seshadri, Donghyuk Lee, Jamie Li...
Memory system reliability is a serious and growing concern in modern servers. Existing chipkill-level memory protection mechanisms suffer from several drawbacks. They activate a l...
Aniruddha N. Udipi, Naveen Muralimanohar, Rajeev B...