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12/09/2019
Expert-guided Regularization via Distance Metric Learning
High-dimensional prediction is a challenging problem setting for traditi...
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12/07/2013
Robust Subspace System Identification via Weighted Nuclear Norm Optimization
Subspace identification is a classical and very well studied problem in ...
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11/22/2013
Finding sparse solutions of systems of polynomial equations via group-sparsity optimization
The paper deals with the problem of finding sparse solutions to systems ...
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03/20/2013
Compressive Shift Retrieval
The classical shift retrieval problem considers two signals in vector fo...
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01/29/2013
