Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
To design DNA nano-machines or analyze DNA molecular reactions, it is important to be able to predict the energy landscape of molecular structures and the energy barrier of a trans...
We propose a methodology for the early estimation of communication implementation choices eftarting from an abstract transaction level system model (TLM). The reference version of ...
Giovanni Agosta, Francesco Bruschi, Donatella Sciu...
This paper presents a morphological scale-space approach to the problem of feature extraction. The method relies on two steps: a hierarchical simplification step based on pyramids...