In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
—Multi-cell Cooperative Processing (MCP) has been recognised as an efficient technique for increasing spectral efficiency of future cellular systems. However the provided bene...
This paper investigates the problem of processing multiple continuous queries over RFID streaming data in RFID middleware. RFID middleware collects and filters RFID sensing data wh...