— Many source separation algorithms fail to deliver robust performance in presence of artifacts introduced by cross-channel redundancy, non-homogeneous mixing and highdimensional...
This paper discusses problems faced by planners of real-world online behavioural change interventions who must select behavioural change frameworks from a variety of competing the...
The visitor pattern is appealing to developers of program-analysis tools because it separates the design of the data structures that represent a program from the design of softwar...
Abstract. Component architectures provide a useful framework for developing an extensible and maintainable code base upon which largescale software projects can be built. Component...
Brian Barrett, Jeffrey M. Squyres, Andrew Lumsdain...
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...