stractions are extensively used to understand and solve challenging computational problems in various scientific and engineering domains. They have particularly gained prominence...
— Sensor networks are commonly used for security and surveillance applications. As sensor nodes have limited battery paower, computing, and storage resources, the energy efficie...
Andrei Gagarin, Sajid Hussain, Laurence Tianruo Ya...
The simulation of chemical reacting systems is one of the most challenging topics in Systems Biology, due to their complexity and inherent randomness. The Gillespie's Stochas...
This paper presents a new incremental learning solution for Linear Discriminant Analysis (LDA). We apply the concept of the sufficient spanning set approximation in each update st...
We propose a novel approach to the problem of simultaneous localization and mapping (SLAM) based on incremental smoothing, that is suitable for real-time applications in large-sca...