Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
We have implemented an information flow framework for the Java Virtual Machine that combines static and dynamic techniques to capture not only explicit flows, but also implicit ...
Aspect-Oriented Programming (AOP) has been proposed as a methodology that provides new modularization of software systems by allowing encapsulation of cross-cutting concerns. Aspe...
This paper gives an overview of the ArchWare European Project1 . The broad scope of ArchWare is to respond to the ever-present demand for software systems that are capable of accom...
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...