The aim of this paper is to present a dissimilarity measure strategy by which a new philosophy for pattern classification pertaining to dissimilaritybased classifications (DBCs) ca...
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
The efficient design of multiplierless implementa- The goal is to find the optimal sub-expressions across all N dot tions of constant matrix multipliers is challenged by the huge p...
Collaborative creativity is traditionally supported by formal techniques, such as brainstorming. These techniques improve the idea-generation process by creating group synergies, ...
Otmar Hilliges, Lucia Terrenghi, Sebastian Boring,...
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...