• Wirtinger Flow

  • Referenced in 90 articles [sw34175]
  • spectral method, and then refines this initial estimate by iteratively applying novel update rules, which...
  • SBA

  • Referenced in 24 articles [sw05242]
  • camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure...
  • fmincon

  • Referenced in 22 articles [sw08758]
  • several variables starting at an initial estimate. This is generally referred to as constrained nonlinear...
  • MonoSLAM

  • Referenced in 41 articles [sw18884]
  • solutions for monocular feature initialization and feature orientation estimation. Together, these...
  • Sheppack

  • Referenced in 14 articles [sw07352]
  • hybrid robust piecewise linear estimation algorithm RIPPLE (residual initiated polynomial-time piecewise linear estimation) intended...
  • COBRA

  • Referenced in 7 articles [sw14858]
  • method for combining several initial estimators of the regression function is introduced. Instead of building...
  • 4D-VAR

  • Referenced in 13 articles [sw03477]
  • nevertheless it provides a new estimation of the initial condition at each iteration. We study...
  • GAKREM

  • Referenced in 10 articles [sw02712]
  • these goals, genetic algorithms for estimating parameters and initializing starting points...
  • FLYCHK

  • Referenced in 4 articles [sw20582]
  • dimension with accuracy sufficient for most initial estimates and in many cases is applicable...
  • VINS-Mono

  • Referenced in 2 articles [sw31238]
  • challenges in terms of IMU processing, estimator initialization, extrinsic calibration, and nonlinear optimization. In this ... starts with a robust procedure for estimator initialization and failure recovery. A tightly-coupled, nonlinear...
  • R0

  • Referenced in 3 articles [sw23473]
  • categories of methods were available: those estimating the initial reproduction number, and those estimating...
  • UOBYQA

  • Referenced in 64 articles [sw07576]
  • model. The paper addresses the initial positions of the interpolation points and the adjustment ... model and also they provide an estimate of the error of the quadratic approximation...
  • robivreg

  • Referenced in 1 article [sw37461]
  • present a robust instrumental-variables estimator, initially proposed by Cohen Freue, Ortiz-Molina, and Zamar ... robivreg command. We have improved on their estimator in two different ways. First...
  • ResEntSG

  • Referenced in 1 article [sw39447]
  • direct sensor measurements are available. The estimator only has access to information sent through ... system without a degradation of the initial estimation error. In general, restoration entropy is hard...
  • SigrafW

  • Referenced in 1 article [sw15045]
  • enzyme-substrate apparent dissociation constant (K). The estimation ... hyperbolic and nonhyperbolic saturation curves. No initial estimates of the kinetic parameters are required...
  • ParEGO

  • Referenced in 58 articles [sw10968]
  • investigate two algorithms that use advanced initialization and search strategies to operate better under these ... every function evaluation, which it uses to estimate the solution of largest expected improvement...
  • MARK

  • Referenced in 24 articles [sw24801]
  • history for each animal. MARK can also estimate the size of closed populations. Parameters ... matrix. A set of common models for initial screening of data are provided. Time effects ... sine, log, and identity. The estimates of model parameters are computed via numerical maximum likelihood...
  • EASY - FIT

  • Referenced in 9 articles [sw05976]
  • continuous initial or boundary conditions.A statistical analysis provides confidence intervals for estimated parameters, correlation...
  • HumanEva

  • Referenced in 23 articles [sw15489]
  • evaluating both 2D and 3D pose estimation and tracking algorithms. We also describe a baseline ... multi-view laboratory environment, where initialization is available, Bayesian filtering tends to perform well ... development of new articulated motion and pose estimation algorithms, will provide a baseline...
  • LaplaceApproximation

  • Referenced in 2 articles [sw11392]
  • goal of Laplace Approximation is to estimate the posterior mode and variance of each parameter ... function is useful for optimizing initial values and estimating a covariance matrix to be input...