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https://www.researchgate.net/publication/260437165_Ellipse_Support_Vector_Data_Description
This paper presents a novel Boundary-based approach in one-class classification that is inspired by support vector data description (SVDD). The SVDD is a popular kernel method which tries to fit a ...
https://link.springer.com/chapter/10.1007/978-3-642-03969-0_24
Due to the usage of a hyperellipse instead of a hypersphere as the decision boundary, we named it "Ellipse Support Vector Data Description" (ESVDD). We show that the ESVDD can generate a tighter data description in the kernel space as well as the input space.Cited by: 10
https://www.researchgate.net/publication/267426327_Support_Vector_Data_Description_by_Using_Hyper-ellipse_Instead_of_Hyper-sphere
Support Vector Data Description (SVDD) describes data by using a hyper-sphere. In this paper, we propose an extended SVDD (ESVDD) which describes data by using a hyper-ellipse.
https://ieeexplore.ieee.org/document/6413318/
Abstract: Support Vector Data Description (SVDD) describes data by using a hyper-sphere. In this paper, we propose an extended SVDD (ESVDD) which describes data by using a hyper-ellipse. Clearly, ESVDD can describe data better than SVDD in the input space.
https://www.mathworks.com/help/map/ref/axes2ecc.html
Description. ecc = axes2ecc(semimajor,semiminor) computes the eccentricity of an ellipse (or ellipsoid of revolution) given the semimajor and semiminor axes. The input data can be scalar or matrices of equal dimensions. ecc = axes2ecc(vec) assumes a 2 element vector …
https://www.mathworks.com/help/map/ref/minaxis.html
This MATLAB function computes the semiminor axis of an ellipse (or ellipsoid of revolution) given the semimajor axis and eccentricity. ... Support for nonscalar input, including the syntax b = minaxis(vec), ... b = minaxis(vec) assumes a 2 element vector (vec) is supplied, where vec = [semimajor, e].
https://link.springer.com/article/10.1007%2Fs00500-016-2317-5
Aug 18, 2016 · Therefore, we propose automatic support vector data description (ASVDD) based on both validation degree, which is originated from fuzzy rough set to discover data characteristic, and assigning effective values for tuning parameters by chaotic bat algorithm.Cited by: 21
https://www.sciencedirect.com/science/article/pii/S0893608011000359
As we may know well, uniqueness of the Support Vector Machines (SVM) solution has been solved. However, whether Support Vector Data Description (SVDD), another best-known machine learning method, has a unique solution or not still remains unsolved.Cited by: 12
https://en.wikipedia.org/wiki/Polarization_ellipse
In electrodynamics, elliptical polarization is the polarization of electromagnetic radiation such that the tip of the electric field vector describes an ellipse in any fixed plane intersecting, and normal to, the direction of propagation. An elliptically polarized wave may be resolved into two linearly polarized waves in phase quadrature, with their polarization planes at right angles to each ...
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