Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
Abstract--This paper proposes a unified optimization framework to solve the time parameterization problem of humanoid robot paths. Even though the time parameterization problem is ...
Perceptual image quality assessment (IQA) and sparse signal representation have recently emerged as high-impact research topics in the field of image processing. Here we make one...
Abdul Rehman, Zhou Wang, Dominique Brunet, Edward ...
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Blocked-execution multiprocessor architectures continuously run atomic blocks of instructions — also called Chunks. Such architectures can boost both performance and software pr...