The problem of the online identification of multi-input multi-output (MIMO) state-space models in the framework of discrete-time subspace methods is considered in this paper. Seve...
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
While software is becoming decomposed in more and more finegrained entities, the interactions amongst those become of major importance. While methodologies for building such compon...
Passive monitoring or testing of complex systems and networks running in the field can provide valuable insights into their behavior in actual environments of use. In certain con...
A comprehensive study of the whole petabyte-scale archival data of astronomical observatories has a possibility of new science and new knowledge in the field, while it was not fe...