Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
This paper describes the development of a system for teaching C/C++ using a LegoTM NXT in a CSI college course on introductory programming. The programming of the NXT robot has be...
Amy Delman, Adiba Ishak, Lawrence Goetz, Mikhail K...
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
The computing landscape is shifting towards mobile devices. To learn about operating systems, it is increasingly important for students to gain hands-on kernel programming experie...
The Web is rapidly moving towards a platform for mass collaboration in content production and consumption. Fresh content on a variety of topics, people, and places is being create...
Yih-Farn Robin Chen, Giuseppe Di Fabbrizio, David ...