نتایج جستجو برای: covariance matching
تعداد نتایج: 129616 فیلتر نتایج به سال:
typographical data entry errors and incomplete documents, produce imperfect records in real world databases. these errors generate distinct records which belong to the same entity. the aim of approximate record matching is to find multiple records which belong to an entity. in this paper, an algorithm for approximate record matching is proposed that can be adapted automatically with input error...
BACKGROUND Both single and bilateral lung transplantation are recognised options for patients who have end-stage chronic obstructive pulmonary disease (COPD); however, which procedure leads to longer survival remains unclear. We aimed to compare survival after each procedure by analysing data from the registry of the International Society for Heart and Lung Transplantation. METHODS We analyse...
We consider a class of semi-parametric dynamic models with strong white noise errors. This processes includes the standard Vector Autoregressive (VAR) model, nonfundamental structural VAR, mixed causal-noncausal models, as well nonlinear such (multivariate) ARCH-M model. For estimation in this class, we propose Generalized Covariance (GCov) estimator, which is obtained by minimizing residual-ba...
The developments of special relativity and quantum mechanics marked the beginning modern physics age. former has taught us that while space time are frame dependent notions, there is a quantity -- space-time interval whose value all inertial observers agree upon. This reveals, so to speak, genuine "fact" universe, relativistic invariant. On other hand, since dawn mechanics, no consensus on what...
The purpose of this study was to examine relationships between pitch-matching and grade level, sex, ethnicity, and classroom teachers’ use of music among K-3 students (N = 289) taught by the same general music teacher. Portions of the data from a pitchmatching exercise that functioned as the music teacher’s roll-taking procedure during the 2005-06 school year were treated as preand posttests. T...
We present a method for recovering 3D human body motion from monocular video sequences using robust image matching, joint limits and non-self-intersection constraints, and a new sample-andrefine search strategy guided by rescaled cost-function covariances. Monocular 3D body tracking is challenging: for reliable tracking at least 30 joint parameters need to be estimated, subject to highly nonlin...
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