Queensland University of Technology

Results: 1349



#Item
1Dropout Variational Inference Improves Object Detection in Open-Set Conditions Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf Australian Centre for Robotic Vision∗ Queensland University of Technology

Dropout Variational Inference Improves Object Detection in Open-Set Conditions Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf Australian Centre for Robotic Vision∗ Queensland University of Technology

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Source URL: bayesiandeeplearning.org

Language: English - Date: 2017-12-05 15:00:49
    2Fixed Argument Pairings Craig Costello Queensland University of Technology LatinCrypt 2010

    Fixed Argument Pairings Craig Costello Queensland University of Technology LatinCrypt 2010

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    Source URL: www.craigcostello.com.au

    Language: English - Date: 2010-08-10 02:52:37
      3Molecular nanoarchitectures from on-surface reactions and assembly Jennifer MacLeod School of Chemistry, Physics and Mechanical Engineering and Institute for Future Environments, Queensland University of Technology (QUT)

      Molecular nanoarchitectures from on-surface reactions and assembly Jennifer MacLeod School of Chemistry, Physics and Mechanical Engineering and Institute for Future Environments, Queensland University of Technology (QUT)

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      Source URL: conferences.au.dk

      Language: English - Date: 2018-03-25 10:11:57
        4People’s Query Logs: Personal Information Management Amanda Spink Bernard J. Jansen Queensland University of Technology

        People’s Query Logs: Personal Information Management Amanda Spink Bernard J. Jansen Queensland University of Technology

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        Source URL: www2007.org

        Language: English - Date: 2007-04-03 18:55:54
          5Different Engines, Different Results Web Searchers Not Always Finding What They’re Looking for Online A Research Study by Dogpile.com In Collaboration with Researchers from Queensland University of Technology and

          Different Engines, Different Results Web Searchers Not Always Finding What They’re Looking for Online A Research Study by Dogpile.com In Collaboration with Researchers from Queensland University of Technology and

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          Source URL: cdn1.inspsearchapi.com

          Language: English - Date: 2018-05-23 17:41:01
            6Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing Yasin Abbasi-Yadkori Queensland University of Technology

            Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing Yasin Abbasi-Yadkori Queensland University of Technology

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            Source URL: www.jmlr.org

            - Date: 2015-09-16 19:38:43
              7  Teaching teachers for the future: How, what, why, and what next? Geoff  Romeo  –  Australian  Catholic  University   Marg  Lloyd  –  Queensland  University  of  Technology  

                Teaching teachers for the future: How, what, why, and what next? Geoff  Romeo  –  Australian  Catholic  University   Marg  Lloyd  –  Queensland  University  of  Technology  

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              Source URL: acce.edu.au

              - Date: 2013-02-08 22:18:44
                8Hit-and-Run for Sampling and Planning in Non-Convex Spaces arXiv:1610.08865v1 [stat.CO] 19 Oct 2016 Yasin Abbasi-Yadkori Queensland University of Technology

                Hit-and-Run for Sampling and Planning in Non-Convex Spaces arXiv:1610.08865v1 [stat.CO] 19 Oct 2016 Yasin Abbasi-Yadkori Queensland University of Technology

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                Source URL: arxiv.org

                - Date: 2016-10-27 20:13:57
                  9Improved Learning Complexity in Combinatorial Pure Exploration Bandits Victor Gabillon Queensland University of Technology (QUT) Alessandro Lazaric

                  Improved Learning Complexity in Combinatorial Pure Exploration Bandits Victor Gabillon Queensland University of Technology (QUT) Alessandro Lazaric

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                  Source URL: victorgabillon.nfshost.com

                  - Date: 2016-05-19 20:07:21
                    10The Need for Dynamic & Active Datasets J¨urgen Leitner, Donald G. Dansereau, Sareh Shirazi, Peter Corke ARC Centre of Excellence for Robotic Vision (ACRV) Queensland University of Technology, Australia j.leitner@robotic

                    The Need for Dynamic & Active Datasets J¨urgen Leitner, Donald G. Dansereau, Sareh Shirazi, Peter Corke ARC Centre of Excellence for Robotic Vision (ACRV) Queensland University of Technology, Australia j.leitner@robotic

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                    Source URL: juxi.net

                    - Date: 2015-05-31 20:18:24