Spectrum sensing is a challenging key component of the Cognitive Radio paradigm, since primary signals must be detected in the face of noise uncertainty and at signal-to-noise rat...
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
— One of the most important problems in Mobile Robotics is to realise the complete robot’s autonomy. In order to achieve this goal several tasks have to be accomplished. Among ...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...
Background: The fast growing Protein Data Bank contains the three-dimensional description of more than 45000 protein- and nucleic-acid structures today. The large majority of the ...