Results 281 to 290 of about 4,806,885 (346)

Fast maximum likelihood estimation for general hierarchical models. [PDF]

J Appl Stat
Hong J, Stoudt S, de Valpine P.
europepmc   +1 more source

Elevation Data Statistical Analysis and Maximum Likelihood Estimation-Based Vehicle Type Classification for 4D Millimeter-Wave Radar. [PDF]

Sensors (Basel)
Jing M, Liu H, Guo F, Gong X.
europepmc   +1 more source

LPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation. [PDF]

Entropy (Basel)
Rhee K, Baik J, Song C, Shin HC.
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Maximum Likelihood

2012
The maximum likelihood method is a popular statistical inferential procedure widely used in many areas to obtain the estimates of the unknown parameters of a population of interest. This chapter gives a brief description of the important concepts underlying the maximum likelihood method, the definition of the key components, the basic theory of the ...
Shuying, Yang, Daniela, De Angelis
semanticscholar   +4 more sources

Maximum likelihood autocalibration

Image and Vision Computing, 2011
This paper addresses the problem of autocalibration, which is a critical step in existing uncalibrated structure from motion algorithms that utilize an initialization to avoid the local minima in metric bundle adjustment. Currently, all known direct (not non-linear) solutions to the uncalibrated structure from motion problem solve for a projective ...
Stuart B. Heinrich, Wesley E. Snyder, Jan-Michael Frahm   +2 more
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Maximum likelihood for parasitologists

Parasitology Today, 1994
In quantitative biology, observed data are fitted to a model that captures the essence of the system under investigation in order to obtain estimates of the parameters of the model, as well as their standard errors and interactions. The fitting is best done by the method of maximum likelihood, though least-squares fits are often used as an ...
B G, Williams, C, Dye
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Maximum likelihood stereo matching

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
In the research literature, maximum likelihood principles were applied to stereo matching by altering the stereo pair so that the difference would have a Gaussian distribution. In this paper we present a novel method of applying maximum likelihood to stereo matching.
Sebe, Niculae, M. S. Lew
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On the Method of Maximum Likelihood

Journal of the Royal Statistical Society, 1940
Not ...
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Maximum-likelihood crystallization

Journal of Structural Biology, 2003
The crystallization facility of the TB Structural Genomics Consortium, one of nine NIH-sponsored structural genomics pilot projects, employs a combinatorial random sampling technique in high-throughput crystallization screening. Although data are still sparse and a comprehensive analysis cannot be performed at this stage, preliminary results appear to ...
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Constrained Maximum Likelihood

Computational Economics, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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