University of Cambridge

Results: 5721



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31Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

Dual-Tree Complex Wavelets - their key properties and a range of image-processing applications Nick Kingsbury Signal Processing and Communications Laboratory Department of Engineering, University of Cambridge, UK. email:

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Source URL: sigproc.eng.cam.ac.uk

Language: English - Date: 2013-08-05 16:06:17
    32Peter Koellner Department of Philosophy 320 Emerson Hall, Harvard University Cambridge, MA3970

    Peter Koellner Department of Philosophy 320 Emerson Hall, Harvard University Cambridge, MA3970

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    Source URL: logic.harvard.edu

    Language: English - Date: 2011-09-20 00:26:33
      33DUAL TREE COMPLEX WAVELETS Part 2 Nick Kingsbury Signal Processing Group, Dept. of Engineering University of Cambridge, Cambridge CB2 1PZ, UK.

      DUAL TREE COMPLEX WAVELETS Part 2 Nick Kingsbury Signal Processing Group, Dept. of Engineering University of Cambridge, Cambridge CB2 1PZ, UK.

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      Source URL: sigproc.eng.cam.ac.uk

      Language: English - Date: 2013-08-05 16:08:16
        34PROCEEDINGS COINs15 LESSONS FROM THE COINSEMINAR Peter Gloor, Maria Paasivaara, Christine Miller MIT, Aalto University, Illinois Institute of Technology Cambridge USA, Helsinki Finland, Chicago USA

        PROCEEDINGS COINs15 LESSONS FROM THE COINSEMINAR Peter Gloor, Maria Paasivaara, Christine Miller MIT, Aalto University, Illinois Institute of Technology Cambridge USA, Helsinki Finland, Chicago USA

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        Source URL: www.ickn.org

        Language: English - Date: 2015-03-26 18:30:54
          35BAYESIAN MODELS FOR DNA SEQUENCING Nicholas M. Haan and Simon J. Godsill Signal Processing Group Department of Engineering, University of Cambridge, U.K. , ABSTRACT

          BAYESIAN MODELS FOR DNA SEQUENCING Nicholas M. Haan and Simon J. Godsill Signal Processing Group Department of Engineering, University of Cambridge, U.K. , ABSTRACT

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          Source URL: sigproc.eng.cam.ac.uk

          Language: English - Date: 2013-08-15 10:37:49
            36ROTATION-INVARIANT LOCAL FEATURE MATCHING WITH COMPLEX WAVELETS Nick Kingsbury Signal Processing Group, Dept. of Engineering, University of Cambridge, Cambridge, CB2 1PZ, U.K. phone: + (email:

            ROTATION-INVARIANT LOCAL FEATURE MATCHING WITH COMPLEX WAVELETS Nick Kingsbury Signal Processing Group, Dept. of Engineering, University of Cambridge, Cambridge, CB2 1PZ, U.K. phone: + (email:

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            Source URL: sigproc.eng.cam.ac.uk

            Language: English - Date: 2013-08-05 16:13:55
              37LIKELIHOOD CORRECTIONS FOR TWO-WAY MODELS By Koen Jochmans∗ and Taisuke Otsu† University of Cambridge and London School of Economics Initial draft: January 5, 2016. This version: February 19, 2018. The use of two-wa

              LIKELIHOOD CORRECTIONS FOR TWO-WAY MODELS By Koen Jochmans∗ and Taisuke Otsu† University of Cambridge and London School of Economics Initial draft: January 5, 2016. This version: February 19, 2018. The use of two-wa

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              Source URL: sticerd.lse.ac.uk

              Language: English - Date: 2018-02-19 10:28:23
                38Least-squares migration using complex wavelets Mark Miller* and Nick Kingsbury, Cambridge University; Richard Hobbs, Durham University Summary The use of multi-scale decompositions has lead to advances in representation

                Least-squares migration using complex wavelets Mark Miller* and Nick Kingsbury, Cambridge University; Richard Hobbs, Durham University Summary The use of multi-scale decompositions has lead to advances in representation

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                Source URL: www-sigproc.eng.cam.ac.uk

                Language: English - Date: 2013-08-05 16:15:02
                  39Variational Gaussian Dropout is not Bayesian Jiri Hron University of Cambridge

                  Variational Gaussian Dropout is not Bayesian Jiri Hron University of Cambridge

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                  Source URL: bayesiandeeplearning.org

                  Language: English - Date: 2017-12-20 07:34:11