September 19, 2019 Dataset Open Access

Dhrubojyoti Roy; Sangeeta Srivastava; Aditya Kusupati; Pranshu Jain; Manik Varma; Anish Arora

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.3451408</identifier>
  <creators>
    <creator>
      <creatorName>Dhrubojyoti Roy</creatorName>
      <affiliation>The Ohio State University</affiliation>
    </creator>
    <creator>
      <creatorName>Sangeeta Srivastava</creatorName>
      <affiliation>The Ohio State University</affiliation>
    </creator>
    <creator>
      <creatorName>Aditya Kusupati</creatorName>
      <affiliation>University of Washington, Microsoft Research India</affiliation>
    </creator>
    <creator>
      <creatorName>Pranshu Jain</creatorName>
      <affiliation>Indian Institute of Technology Delhi</affiliation>
    </creator>
    <creator>
      <creatorName>Manik Varma</creatorName>
      <affiliation>Microsoft Research India, Indian Institute of Technology Delhi</affiliation>
    </creator>
    <creator>
      <creatorName>Anish Arora</creatorName>
      <affiliation>The Ohio State University, The Samraksh Company</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Micro-power Pulse-Doppler Radar Clutter and Displacement Source Classification Dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>recurrent neural network</subject>
    <subject>radar</subject>
    <subject>system on a chip</subject>
    <subject>sensor network</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-09-19</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://arxiv.org/abs/1909.03082</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3451408</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3451407</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by-sa/4.0/legalcode">Creative Commons Attribution Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This is the official dataset for the ACM BuildSys 2019 publication&amp;nbsp;&lt;em&gt;One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;The training code for MSC-RNN can be found at&amp;nbsp;&lt;a href="https://github.com/dhruboroy29/MSCRNN"&gt;https://github.com/dhruboroy29/MSCRNN&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Kindly cite this work as:&lt;/p&gt;

&lt;pre&gt;&lt;code&gt;@inproceedings{roy2019one,
  title={One size does not fit all: Multi-scale, cascaded RNNs for radar classification},
  author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish},
  booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},
  pages={1--10},
  year={2019}
}&lt;/code&gt;&lt;/pre&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
  </descriptions>
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