Browsing by Subject "sparsity"
Now showing items 1-5 of 5
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(2014-07-28)It is of fundamental interest to routinely monitor waves and currents in the nearshore seas both scientifically and to the general public, because they play an important role in coastline erosion and they have a significant ...
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(2020-11-18)Gaussian processes (GPs) are widely used in geospatial analysis, machine learning and many application areas. We propose novel scalable methods to tackle two problems in Gaussian process modeling for large spatial datasets. In ...
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(2012-10-19)One of the most important challenges in dynamic magnetic resonance imaging (MRI) is to achieve high spatial and temporal resolution when it is limited by system performance. It is desirable to acquire data fast enough to ...
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(2014-07-11)The ability to recover the phase information of a signal of interest from a measurement process plays an important role in many practical applications. When only the Fourier transform magnitude of the signal is recorded, ...
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(2016-05-24)Computational algebraic geometry is the study of roots of polynomials and polynomial systems. We are familiar with the notion of degree, but there are other ways to consider a polynomial: How many variables does it have? ...