In this paper, we propose two ways of improving image classification based on bag-of-words representation [25]. Two shortcomings of this representation are the loss of the spatial...
The task of mappingbetween source programs and machine code, once the code has been optimizedand transformed by a compiler is often di cult. Yet there are many instances, such as ...
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
UML has established itself as the leading OO analysis and design methodology. Recently, it has also been increasingly used as a foundation for representing numerous (diagrammatic) ...