Results 221 to 230 of about 520,043 (268)
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1990
Mathematically, parameters are the unknown quantities θ in the likelihood function, L(θ), whose values \( \hat \theta \) at the optimum are regarded as giving the best fit of the model to the data. There is an unlimited number of ways of writing the same model in terms of different sets of parameters. But the reasons for a particular parametrization of
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Mathematically, parameters are the unknown quantities θ in the likelihood function, L(θ), whose values \( \hat \theta \) at the optimum are regarded as giving the best fit of the model to the data. There is an unlimited number of ways of writing the same model in terms of different sets of parameters. But the reasons for a particular parametrization of
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Parameter Recovery Using Radon Transform
Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia, 2018In computer vision, alignment of images plays an important role in different day to day life applications by bringing similar points of images into correspondence. Conventionally, images are aligned by using the extracted features of images. However, the extraction of features is difficult, time consuming and not suitable for low quality images ...
Komal Komal +3 more
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A One-Parameter Family of Sequence Transformations
SIAM Journal on Mathematical Analysis, 1979A one-parameter family of sequence or series transformations is presented which includes the Pade and the iterated Aitken’s (Shanks) tables as special cases. The transformation table elements are rational functions with polynomial coefficients in the parameter that, when expanded for small argument, are asymptotically equivalent to the highest order ...
Vanden Broeck, Jean-Marc +1 more
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Fast Transformation for DAC Parameters Identification
2005 IEEE Instrumentationand Measurement Technology Conference Proceedings, 2006Modeling of digital-to-analog converters (DACs) and identification of their critical parameters are dealt with. The attention is focused on a well-known static model accounting for linearity and intermodulation errors, which are of major concern for DAC functional characterization as well as troubleshooting.
ANGRISANI, LEOPOLDO +3 more
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The multiple-parameter fractional Fourier transform
Science in China Series F: Information Sciences, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jun Lang +3 more
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Affine Parameter Estimation from the Trace Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003In this paper, we assume that we are given the images of two segmented objects, one of which may be an affinely distorted version of the other, and wish to recover the values of the parameters of the affine transformation between the two images. The images may also differ by the overall level of illumination.
Alexander Kadyrov, Maria Petrou
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On the discretization of parameter domain in Hough transformation
Proceedings of 13th International Conference on Pattern Recognition, 1996Although the basic principle of Hough transformation can be described accurately in continuous spaces, its application is often conducted in digitized ones. The discretization of both a spatial image and the related transformation parameters will result in positioning errors in the parameter domain that affect the accumulation through which the Hough ...
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Parameter isolating transforms and admissible distortions
ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005An often encountered pattern recognition problem is that of identifying a given image as related to one of a set of prototypes even though they may differ by virtue of the action of a non-linear mapping of image points. Certain parameterized distortions are such that a transform may be found that has the property of isolating the distortion effect as a
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Parameter diagrams for the fractional Fourier transform
Journal of Modern Optics, 2001Abstract A simple diagram illustrates the relations between six parameters of the generalized FRT. The diagram is developed to illustrate a variety of equations which have appeared in the literature, particularly in relation to free-space propagation, Gaussian beams, optical filtering experiments, and the ABCD matrix.
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On the Effect of Response Transformations in Sequential Parameter Optimization
Evolutionary Computation, 2012Parameter tuning of evolutionary algorithms (EAs) is attracting more and more interest. In particular, the sequential parameter optimization (SPO) framework for the model-assisted tuning of stochastic optimizers has resulted in established parameter tuning algorithms.
Tobias Wagner 0001, Simon Wessing
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