Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
Maxim Raginsky, Rebecca Willett, Zachary T. Harman...
Microprocessor designers have been torn between tight constraints on the amount of on-chip cache memory and the high latency of off-chip memory, such as dynamic random access memor...
Xi Chen, Lei Yang, Robert P. Dick, Li Shang, Haris...
Universities and Institutions these days’ deals with issues related to with assessment of large number of students. Various evaluation methods have been adopted by examiners in ...
Ahmed Barnawi, Abdurrahman H. Al-Talhi, M. Rizwan ...