ReConStruction

Results: 10211



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161M12.5 MAXIMALLY SPARSE RECONSTRUCTION OF BLURRED STAR FIELD IMAGES Brian D . Jefls and Douglas Elsmore Brigham Young University Provo, UT

M12.5 MAXIMALLY SPARSE RECONSTRUCTION OF BLURRED STAR FIELD IMAGES Brian D . Jefls and Douglas Elsmore Brigham Young University Provo, UT

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Source URL: www.et.byu.edu

- Date: 2009-10-14 12:22:23
    162Learning Nonlinear Spectral Filters for Color Image Reconstruction Michael Moeller1 , Julia Diebold1 , Guy Gilboa2 and Daniel Cremers1 1 2

    Learning Nonlinear Spectral Filters for Color Image Reconstruction Michael Moeller1 , Julia Diebold1 , Guy Gilboa2 and Daniel Cremers1 1 2

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    Source URL: www.cv-foundation.org

    - Date: 2015-10-24 14:58:30
      163A NON-UNIFORMLY SAMPLED MARKOV RANDOM FIELD MODEL FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES * Alan H. Gardinert and Brian D. Jeffst t Lockheed Martin Federal Systems $ Department of Electrical and Computer En

      A NON-UNIFORMLY SAMPLED MARKOV RANDOM FIELD MODEL FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES * Alan H. Gardinert and Brian D. Jeffst t Lockheed Martin Federal Systems $ Department of Electrical and Computer En

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      Source URL: www.et.byu.edu

      - Date: 2009-10-14 12:22:26
        164Philippine Institute for Development Studies Surian sa mga Pag-aaral Pangkaunlaran ng Pilipinas Deepening Regional Cooperation for Disaster Recovery and Reconstruction: A Proposal for Proactive Approach

        Philippine Institute for Development Studies Surian sa mga Pag-aaral Pangkaunlaran ng Pilipinas Deepening Regional Cooperation for Disaster Recovery and Reconstruction: A Proposal for Proactive Approach

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        Source URL: dirp3.pids.gov.ph

        - Date: 2015-04-28 20:41:21
          165Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction Paulo F. U. Gotardo1 , Tomas Simon2 , Yaser Sheikh2 , and Iain Matthews1,2 1 2

          Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction Paulo F. U. Gotardo1 , Tomas Simon2 , Yaser Sheikh2 , and Iain Matthews1,2 1 2

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          Source URL: www.cv-foundation.org

          - Date: 2015-10-24 15:08:17
            166To Project More or to Quantize More: Minimizing Reconstruction Bias for Learning Compact Binary Codes

            To Project More or to Quantize More: Minimizing Reconstruction Bias for Learning Compact Binary Codes

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            Source URL: eeeweba.ntu.edu.sg

            - Date: 2016-08-04 22:48:54
              167Iterative Low Complexity Factorization for Projective Reconstruction Hanno Ackermann and Kenichi Kanatani Department of Computer Science Okayama University, Okayama, Japan {hanno,kanatani}@suri.it.okayama-u.ac.j

              Iterative Low Complexity Factorization for Projective Reconstruction Hanno Ackermann and Kenichi Kanatani Department of Computer Science Okayama University, Okayama, Japan {hanno,kanatani}@suri.it.okayama-u.ac.j

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              Source URL: www.suri.cs.okayama-u.ac.jp

              - Date: 2008-02-26 00:12:06
                168MARKOV RANDOM FIELD IMAGE PRIOR MODELS FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES B r i a n D. Jeffst a n d A l a n H. Gardiner$ Young University, 459 CB, Provo, U T 84602, email $ Lockheed M

                MARKOV RANDOM FIELD IMAGE PRIOR MODELS FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES B r i a n D. Jeffst a n d A l a n H. Gardiner$ Young University, 459 CB, Provo, U T 84602, email $ Lockheed M

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                Source URL: www.et.byu.edu

                - Date: 2009-10-14 12:22:28
                  169Craniomaxillofacial Trauma & Reconstruction Author Instructions Thank you for contributing to Craniomaxillofacial Trauma & Reconstruction. Please read the instructions carefully and observe all the directions given. Fail

                  Craniomaxillofacial Trauma & Reconstruction Author Instructions Thank you for contributing to Craniomaxillofacial Trauma & Reconstruction. Please read the instructions carefully and observe all the directions given. Fail

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                  Source URL: www.thieme.com

                  - Date: 2015-10-14 17:25:18
                    170Surface Reconstruction by Voronoi Filtering Nina Am&a* Marshall Bernt points, but also of Voronoi vertices. The crust comes with

                    Surface Reconstruction by Voronoi Filtering Nina Am&a* Marshall Bernt points, but also of Voronoi vertices. The crust comes with

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                    Source URL: www.cs.jhu.edu

                    - Date: 2005-09-08 11:45:46