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1 - 10 of 26 search results for KaKaoTalk:po03 op |u:www-sigproc.eng.cam.ac.uk where 0 match all words and 26 match some words.
  1. Results that match 1 of 2 words

  2. Randomized algorithms for optimization: Statistical and…

    www-sigproc.eng.cam.ac.uk/foswiki/pub/SPARS2015/PlenaryTalks/Plenary8_Wainwright_SPARS15.pdf
    1 Sep 2015: ES[ST (SST )1S. ]|||op -. m. n. Fundamental cause of poor performance?Recall planted ensembles of problems:. ... ES[ST (SST )1S. ]|||op -. m. n. Theorem (Pilanci & W, 2014).
  3. Convex Optimization Approach for Time-Optimal Path Tracking of Robots …

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/TA417Publications/ArdeshiriNLH2011.pdf
    18 Sep 2012: Op-timization Methods and Software, 11-12(1-4), 625–653.Available from http://sedumi.ie.lehigh.edu. Tarkiainen, M. and Shiller, Z.
  4. Intelligent Vehicles Symposium 2006, June 13-15, 2006, Tokyo, Japan…

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/TA417Publications/ArdeshiriKTB2006.pdf
    18 Sep 2012: On the contrary, the proposed offset eliminative MMwill succeed in matching the BC trajectory in secondintersection, to OP (see Figure 5), by utilizingcalculated common offset in first intersection.
  5. MAXIMUM ENTROPY PROPERTY OF DISCRETE-TIME STABLE SPLINE KERNEL Tohid…

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/TA417Publications/ArdeshiriC2015.pdf
    9 Apr 2015: As a result, the op-timal solution to (25) is the zero-mean Gaussian process in-duced by f(t) = g(eβt) which has the covariance functionλ min{eβt,eβs}.
  6. TCOM-09-0115.dvi

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/TCOM_July10.pdf
    5 Aug 2013: While these formulas are considerablysimpler than optimizing over all policies, they are not op-timizations over finite-dimensional spaces, and are difficultto compute.
  7. 2154 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. ...

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/IT_June07_scff.pdf
    5 Aug 2013: 2154 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 53, NO. 6, JUNE 2007. Source Coding With Feed-Forward: Rate-DistortionTheorems and Error Exponents for a General Source. Ramji Venkataramanan, Student Member, IEEE, and S. Sandeep Pradhan, Member,
  8. Lossy Compression via Sparse Linear Regression:Computationally…

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/RV285/isit13_final.pdf
    5 Aug 2013: Though these techniques have good empiricalperformance, they have not been proven to attain the op-.
  9. phd.dvi

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/OP205/phd.pdf
    16 Dec 2013: Sequential Monte Carlo Methods for Digital Communications. A dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. Elena Punskaya, St. John’s College July, 2003. Signal Processing and Communications
  10. RESTORATION OF IMAGES AND 3D DATA TO HIGHER RESOLUTIONBY ...

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/NGK/zhang_ICIP_2010.pdf
    5 Aug 2013: ȳ = D(Hx) n̄ (1). Then the problem can be expressed as recovery of the higher-sampled x from ȳ, with known PSF H and subsampling op-eration D according to
  11. The Dual-Tree Complex Wavelet Transform – ACoherentFramework for…

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/NGK/sp_mag_finalsub.pdf
    15 Jun 2016: The Dual-Tree Complex Wavelet Transform – ACoherentFramework for Multiscale Signal and Image Processing. Ivan W. SelesnickElectrical and Computer Engineering. Polytechnic University. 6 Metrotech Center, Brooklyn, NY 11201, USA. Email:

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