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Low rank matrix recovery is about reconstructing a low rank matrix from incomplete measurements. It arises frequently in many research areas of science and engineering, for example, machine learning, ...
Due to the limited spatial resolution of remote hyperspectral sensors, pixels are usually highly mixed in the hyperspectral images. Endmember extraction refers to the process identifying the pure endm...
We are delighted to organize and host the second edition of the biennial Summer School on Random Matrices at the University of Michigan during June 18--29, 2018.We thank the Michigan Center for Applie...
Rajendra Bhatia has made remarkable contributions to Mathematics research and teaching, and to growth of Mathematics in India. He has been honored with various awards including the Medal for Young Sci...
Matrix and tensor factorizations have a long history in machine learning. Being able to recover latent factors in the data and flexible enough to accommodate a large set of constraints and regularizat...
Background: Weight loss (WL) is often followed by weight regain after an energy-restricted dietary intervention (DI). When people are following a diet, the volume of an adipocyte decreases by loss of ...
The Gordon Research Seminar on Matrix Metalloproteinases is a unique forum for graduate students, post-docs, and other scientists with varying levels of experience and education to present and exchang...
Since their discovery as tissue remodeling enzymes over 50 years ago, the matrix metalloproteinases (MMPs) and the related ADAM and ADAMTS families have been identified as major contributors to human ...
We report measurements of time-dependent solvation in a protein medium by the fluorescence dynamic Stokes shift method. Picosecond time-correlated single photon counting fluorescence decays on the com...
Nonphotochemical holeburning spectroscopy has been used to study a chlorophyllide chromophore substituted for heme in apomyoglobin. The observed holewidths were compared with those found for the same ...
Imitation may be the sincerest form of flattery but the best way to make something is often to co-opt the original process and make it work for you. In a sense, that’s how scientists at Brown Universi...
We investigate the use of polynomial matrices to give efficient presentations of nonnegative matrices exhibiting prescribed spectral and algebraic behavior.
Let G be a finite group. We classify G-equivariant flow equivalence of nontrivial irreducible shifts of finite type interms of (i) elementary equivalence of matrices over ZG and (ii) the conjugacy cla...
Traffic matrices are required inputs for many IP network management tasks: for instance, capacity planning, traffic engineering and network reliability analysis. However, it is diffi...
We interpret non-negative matrix factorization geometrically, as the problem of finding a simplicial cone which contains a cloud of data points and which is contained in the positive orthant.

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