Models of Computation for Big Data 1st ed. 2018(Advanced Information and Knowledge Processing) P 110 p. 18
Akerkar, Rajendra 著
目次
Preface.- Streaming Models.- Introduction.- Indyk’s Algorithm.- Point Query.- Sketching.- Sub-Linear Time Models.- Introduction.- Dimentionality Reduction.- Johnson Lindenstrauss Lower Bound.- Fast Johnson Lindenstrauss Transform.- Sublinear Time Algorithmic Models.- Linear Algebraic Models.- Introduction.- Subspace Embeddings.- Low-Rank Approximation.- The Matrix Completion Problem.- Other Computational Models.- References
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