— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
We show how a series of transformations can be applied to a sequential program to obtain programs that represent successive steps in exploiting parallelism in the original algorit...
Lei Pan, Wenhui Zhang, Arthur Asuncion, Ming Kin L...
We use a fully abstract denotational model to show that nested function calls and recursive definitions can be eliminated from SPCF (a typed functional language with simple non-lo...
Because multicore CPUs have become the standard with all major hardware manufacturers, it becomes increasingly important for ing languages to provide programming abstractions that ...
Genetic Algorithms (GAs) have been known to be robust for search and optimization problems. Image registration can take advantage of the robustness of GAs in finding best transform...
Prachya Chalermwat, Tarek A. El-Ghazawi, Jacquelin...