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Can I read Structural Conditions for Projection-cost Preservation via Randomized Matrix Multiplication on EtoBox?
Structural Conditions for Projection-cost Preservation via Randomized Matrix Multiplication by Chowdhury, Agniva; Yang, Jiasen; Drineas, Petros is a Mathematics article available to read on EtoBox.
What is Structural Conditions for Projection-cost Preservation via Randomized Matrix Multiplication about?
Projection-cost preservation is a low-rank approximation guarantee which ensures that the cost of any rank-k projection can be preserved using a smaller sketch of the original data matrix. We present a general structural result outlining four sufficient conditions to achieve projection-cost preservation. These conditions can be satisfied using tools from the Randomized Linear Algebra literature.
Who reads Structural Conditions for Projection-cost Preservation via Randomized Matrix Multiplication?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Chowdhury, Agniva; Yang, Jiasen; Drineas, Petros
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0024-3795)
- Published
- 2019
- Language
- EN
- Field
- Mathematics (Physical Sciences)
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