A growing number of applications have become reliant or can benefit from monitoring data streams. Data streams are potentially unbounded in size, hence, Data Stream Management Sy...
Fatih Altiparmak, David Chiu, Hakan Ferhatosmanogl...
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
In this paper, a novel data hiding technique is proposed, as an improvement over the Fibonacci LSB data-hiding technique proposed by Battisti et al. [1]. First we mathematically m...
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
— To approximate complex data, we propose new type of low-dimensional “principal object”: principal cubic complex. This complex is a generalization of linear and nonlinear pr...
Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zi...