Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
Creating statistics from sporting events is now widespread with most efforts to automate this process using various sensor devices. The problem with many of these statistical app...
Abstract— This paper addresses passivity-based output synchronization and a collision avoidance problem of rigid bodies in the Special Euclidean group SE(3) under the assumption ...
New phase-shifting techniques have recently been proposed to suppress the complex-conjugate ambiguity in frequencydomain optical-coherence tomography. A phase shift is introduced,...
S. Chandra Sekhar, Roland Michaely, Rainer A. Leit...
In this paper we present three software design patterns for rapid prototyping of information visualization applications. The first pattern describes a mapping of object oriented ...