Gaussian

Results: 2017



#Item
511

The Rate Region of the Quadratic Gaussian Two-Terminal Source-Coding Problem Aaron B. Wagner∗ , Saurabha Tavildar† , and Pramod Viswanath† ∗ Coordinated Science Laboratory, University of Illinois at Urbana-Champ

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Source URL: ita.ucsd.edu

Language: English - Date: 2006-01-01 02:33:51
    512

    Quadratic Time, Linear Space Algorithms for Gram-Schmidt Orthogonalization and Gaussian Sampling in Structured Lattices Vadim Lyubashevsky1,2⋆ and Thomas Prest2,3 1

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    Source URL: www.di.ens.fr

    Language: English - Date: 2015-02-08 05:08:31
      513

      Tree-structured Gaussian process approximations Supplementary material Thang Bui Richard Turner

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

      Language: English - Date: 2014-10-20 07:50:01
        514

        THE ENUMERATION OF PLANAR GRAPHS VIA WICK’S THEOREM MIHYUN KANG1 AND MARTIN LOEBL2 Abstract. A seminal technique of theoretical physics called Wick’s theorem interprets the Gaussian matrix integral of the products of

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        Source URL: iti.mff.cuni.cz

        Language: English - Date: 2016-02-04 05:53:37
          515

          Eulerian Gaussian beams for high frequency wave propagation Jianliang Qian Wichita State University, Wichita, KS and TRIP, Rice University

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          Source URL: trip.rice.edu

          Language: English - Date: 2007-12-17 19:59:11
            516

            Bounds on the Expectation of the Maximum of Samples from a Gaussian Gautam Kamath In this document, we will provide bounds on the expected maximum of n samples from Gaussian distribution. Let Y = max1≤i≤n Xi , where

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            Source URL: www.gautamkamath.com

            Language: English
              517

              Abstract— The water-filling solution for the quadratic ratedistortion function R(D) of a stationary Gaussian source is given in terms of the spectrum of the source. Similarly, the capacity C of a power-constrained inte

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              Source URL: ita.ucsd.edu

              - Date: 2006-01-23 10:46:56
                518

                Fast hierarchical Gaussian processes Seth Flaxman CMU Andrew Gelman

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                Source URL: sethrf.com

                Language: English - Date: 2015-08-10 18:28:53
                  519

                  User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models Justin Cranshaw and Jonathan Mugan and Norman Sadeh School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213

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                  Source URL: www.jonathanmugan.com

                  Language: English - Date: 2014-05-05 11:52:45
                    520

                    On Superposition Coding and Beamforming for the Multi-Antenna Gaussian Broadcast Channel Daniel Wajcer Shlomo Shamai (Shitz)

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                    Source URL: ita.ucsd.edu

                    Language: English - Date: 2006-01-16 07:57:15
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