— Recent progress in High-Level Synthesis (HLS) es has helped raise the abstraction level of FPGA programming. However implementation and performance evaluation of the HLS-genera...
Alexandros Papakonstantinou, Yun Liang, John A. St...
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
The ability to automatically parallelize standard programming languages results in program portability across a wide range of machine architectures. It is the goal of the Polaris ...
William Blume, Rudolf Eigenmann, Keith Faigin, Joh...
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...