Both commercial and scientific workloads benefit from concurrency and exhibit data sharing across threads/processes. The resulting sharing patterns are often fine-grain, with t...
Hemayet Hossain, Sandhya Dwarkadas, Michael C. Hua...
Back in 1995, Alt and Godau gave an efficient algorithm for deciding whether a given curve resembles some part of a larger curve under a fixed Fr´echet distance, achieving a runn...
Abstract. We consider the problem of maintaining polynomial and exponential decay aggregates of a data stream, where the weight of values seen from the stream diminishes as time el...
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
Steven Busuttil, Yuri Kalnishkan, Alexander Gammer...