
SBA
 Referenced in 23 articles
[sw05242]
 camera matrix) parameter estimates. Provided with initial estimates, BA simultaneously refines motion and structure ... Fortunately, the lack of interaction among parameters for different 3D points and cameras results ... full control over the definition of the parameters describing cameras and 3D structure. Therefore ... intrinsically calibrated cameras, exterior orientation (i.e. pose) estimation from fixed 3D points, refinement of intrinsic...

cirt
 Referenced in 10 articles
[sw08115]
 nested within individuals. All parameters can be estimated simultaneously using an MCMC estimation approach...

HDDM
 Referenced in 8 articles
[sw16420]
 statistical power, allowing for simultaneous estimation of individual subject parameters and the group distribution that...

msgl
 Referenced in 10 articles
[sw26552]
 sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable for high...

FAMT
 Referenced in 25 articles
[sw11123]
 FAMT: Factor Analysis for Multiple Testing (FAMT) : simultaneous tests under dependence in highdimensional data ... variance in multiple tests. The model parameters are estimated thanks to an EM algorithm. Adjusted...

milr
 Referenced in 0 articles
[sw15884]
 binary outcomes and performs the maximum likelihood estimation with the ExpectationMaximization algorithm under ... attached to the likelihood function for simultaneous parameter estimation and variable selection...

msBayes
 Referenced in 3 articles
[sw24735]
 distributed populationpairs. Simultaneous isolation is tested by estimating three hyperparameters that characterize...

phtt
 Referenced in 3 articles
[sw24362]
 estimate the number of the unobserved factors simultaneously with the remaining model parameters...

SIT
 Referenced in 0 articles
[sw19637]
 implementing several numerical schemes (state estimation, simultaneous state and parameter estimation) within the framework...

SupCP
 Referenced in 1 article
[sw24588]
 algorithm for simultaneous estimation of all model parameters. SupCP can be used for dimension reduction...

CIRFE
 Referenced in 1 article
[sw27640]
 local estimate of the parameter components in its interest set by simultaneously processing the latest...

CLEMM
 Referenced in 1 article
[sw31323]
 envelope methodology aims for simultaneous dimension reduction and efficient parameter estimation, and includes a very...

FarmTest
 Referenced in 3 articles
[sw31555]
 fast datadrive tuning schemes to estimate model parameters and construct test statistics that ... asymetric error distributions. Extensions to twosample simultaneous mean comparison problems are also included ... compute adaptive Huber mean and covariance matrix estimators that are of independent interest...

TIMP
 Referenced in 8 articles
[sw07964]
 spectroscopic measurements. The package allows for the simultaneous analysis of datasets collected under different experimental ... parameters that are intrinstically nonlinear, and some parameters that are conditionally linear on estimates...

dcminfo
 Referenced in 1 article
[sw27929]
 item and structural model parameters are considered simultaneously. Specifically, the observed information matrix, the empirical ... used to estimate the asymptotic covariance matrix (or the model parameter standard errors) within...

amei
 Referenced in 3 articles
[sw21015]
 emerging epidemic while simultaneously propagating uncertainty regarding underlying disease parameters through to the decision process ... current population state and updated parameter estimates...

iDEMO
 Referenced in 3 articles
[sw21172]
 build a linear degradation model which can simultaneously consider the unittounit variation, time ... iDEMO provides the maximum likelihood estimates of the unknown parameters, meantimetofailure...

QuestPlus
 Referenced in 1 article
[sw27235]
 rapid and flexible method of estimating the parameters of a psychophysical model, and is also ... ability to vary multiple stimulus properties simultaneously...

OKVARBoost
 Referenced in 3 articles
[sw24063]
 operatorvalued kernels that simultaneously learns the model parameters, as well as the network structure ... developed to perform the tasks of parameter learning and network inference for the proposed model ... ensemble of such models. The empirical estimation of the ensemble model’s Jacobian matrix provides...

TVRDART
 Referenced in 3 articles
[sw27583]
 prior knowledge of the scanned object simultaneously, TVRDART solves the discrete reconstruction problem within ... gray values and the thresholds are estimated as the reconstruction improves through iterations. Extensive experiments ... algorithm requires less effort on parameter tuning compared with the original DART algorithm. With...