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Professionals of various backgrounds have recognized the value that the use of geospatial imagery can add to their analysis. They take advantage of the widespread availability of data in vast image ...
A wide variety of analysis and design problems arising in control communication and information theory, statistics, computational geometry and many other fields can be expressed as semidefinite progra...
This paper develops a novel framework for phase retrieval, a problem which arises in X-ray crystallography, diffraction imaging, astronomical imaging and many other applications. Our approach, called ...
Purpose: To apply the low-rank plus sparse (L+S) matrix decomposition model to reconstruct undersampled dynamic MRI as a superposition of background and dynamic components in various problems of clini...
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and Jones’ cascade learni...

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