Applications in Computer Networks often require high throughput access to large data structures for lookup and classification. Many advanced algorithms exist to speed these searc...
This paper is a response to requests from several respected colleagues in academia for a careful writeup of the classical time-optimal control based hybrid controllers that we have...
Haitham A. Hindi, Lara S. Crawford, Rong Zhou, Cra...
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Clio is an existing schema-mapping tool that provides user-friendly means to manage and facilitate the complex task of transformation and integration of heterogeneous data such as...
Haifeng Jiang, Howard Ho, Lucian Popa, Wook-Shin H...
Background: Technological advances in high-throughput techniques and efficient data acquisition methods have resulted in a massive amount of life science data. The data is stored ...