Stable Random Projection: Lightweight, General-Purpose Dimensionality Reduction for Digitized Libraries
By Benjamin M. Schmidt. 2018
22 citations recorded by the source corpus.
Digital libraries today distribute their contents in a way that limits the sort of work that can be done with them. Modern libraries are so large-often containing millions of books or articles-that the technical resources needed to work with them can be immense. Beginning researchers and students often cannot practically obtain more than a few thousand books at a time. Advanced researchers must use (often incomplete) metadata to decide which books are of interest for their projects; and libraries themselves lack ways for make their full-text holdings easily discoverable by researchers or integrated with other collections.
Subfields: Computer Networks and Communications
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In Computer Networks and Communications
- Philipp Berens
- George C. Linderman
- Stefan Steinerberger
- Yuval Kluger
- Dmitry Kobak
- Fei Wang
- Chengxi Zang
Citations in the corpus
- Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations (2019, methodology): “, 2018) where samples are people and features are singlenucleotide polymorphisms, to humanities (Schmidt, 2008) (1)Institute for Ophthalmic Research, University of Tübingen, Germany (2)Applied Mathematics Program, Yale University, New Haven, USA (3)Department of Mathematics, Yale University, New Hav”