The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Kohn’s Molecular Interaction Maps (MIMs) are a graphical notation for describing bioregulatory networks at the molecular level. Even if the meaning of Kohn’s diagrams can be of...
Roberto Barbuti, Daniela Lepri, Andrea Maggiolo-Sc...
Palette re-ordering is a well known and very effective approach for improving the compression of color indexed images. If the spatial distribution of the indexes in the image is s...
Sebastiano Battiato, Francesco Rundo, Filippo Stan...
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...