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ivis: dimensionality reduction in very large datasets using Siamese Networks

Ignat Drozdov; Benjamin Szubert


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Ignat Drozdov</dc:creator>
  <dc:creator>Benjamin Szubert</dc:creator>
  <dc:date>2019-08-06</dc:date>
  <dc:description>This release introduces a number of new features into ivis:


	Windows support
	Code changes to support ivis on Python2
	R package received a major facelift - with big thanks to JOSS reviewers
	Added cosine distance metric in triplet loss function
	Minor bug fixes and performance improvements
</dc:description>
  <dc:identifier>https://zenodo.org/record/3361500</dc:identifier>
  <dc:identifier>10.5281/zenodo.3361500</dc:identifier>
  <dc:identifier>oai:zenodo.org:3361500</dc:identifier>
  <dc:relation>url:https://github.com/beringresearch/ivis/tree/1.3.0</dc:relation>
  <dc:relation>doi:10.5281/zenodo.2907841</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:title>ivis: dimensionality reduction in very large datasets using Siamese Networks</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>
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