We give the first optimal algorithm for estimating the number of distinct elements in a data stream, closing a long line of theoretical research on this problem begun by Flajolet...
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
This paper presents a novel approach for multiprocess synthesis supporting well-tailored module integration at system level. The goal is to extend the local scope of existing arch...
Oliver Bringmann, Wolfgang Rosenstiel, Axel Sieben...
Two-dimensional (2D) optimal filter for highly nonstationary 2D signal estimation is developed. It is based on the real-time results of space/spatial-frequency (S/SF) analysis, on...
Veselin N. Ivanovic, Nevena Radovic, Srdjan Jovano...