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Matrix Sketching over Streams


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Wednesday, February 07, 2018, 11:00am


It is common to represent data in the form of a matrix, and a large set of data analytic tasks rely on obtaining a low-rank approximation of the data matrix. Such approximations can be computed using the Singular Value Decompositions (SVD). In many scenar

Speaker: Mina Ghashami


Prior to postdoc, I was a PhD student at University of Utah, advised by Dr. Jeff Phillips. During PhD, I worked on desigining low-rank approximations to matrices, mostly in streaming/online data models. My other reserach interests are dimensionality reduc

Location : CoRE 301


Pranjal Awasthi and Shubhangi Saraf

Event Type: Seminar



DIMACS, Rutgers University