Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 10
Izvirni znanstveni članek
Oznake: mešani model;ocena parametrov;EM algoritem;REBMIX algoritem;ocena gostote;porazdelitev verjetnosti;grozdenje;segmentacija slik;mixture model;parameter estimation;EM algorithm;REBMIX algorithm;density estimation;clustering;image segmentation;
A commonly used tool for estimating the parameters of a mixture model is the Expectation-Maximization (EM) algorithm, which is an iterative procedure that can serve as a maximum-likelihood estimator. The EM algorithm has well-documented drawbacks, such as the need for good initial values and the pos ...
Leto: 2020 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: Gaussian mixture models;classification;bearing fault estimation;parameter estimation;performance of classification methods;
Condition monitoring and fault detection are nowadays popular topic. Different loads, enviroments etc. affect the components and systems differently and can induce the fault and faulty behaviour. Most of the approaches for the fault detection rely on the use of the good classification method. Gaussi ...
Leto: 2020 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: histogram;diskretna optimizacija;ocena parametrov;EM;REBMIX;mešani model;integer optimization;parameter estimation;mixture model;
A maximum-likelihood estimation of a multivariate mixture model's parameters is a difficult problem. One approach is to combine the REBMIX and EM algorithms. However, the REBMIX algorithm requires the use of histogram estimation, which is the most rudimentary approach to an empirical density estimat ...
Leto: 2020 Vir: Fakulteta za strojništvo (UL FS)
Doktorska disertacija
Oznake: obratovalna trdnost;Gaussov mešan model;REBMIX algoritem;EM algoritem;histogrami;klasifikacija;zaznavanje napak;segmentacija slik;disertacije;
Doktorsko delo predstavlja rezultate ocenjevanja Gaussovega mešenega modela za potrebe klasifikacije v obratovalni trdnosti. Predstavljene so REBMIX & EM strategije za ocenjevanje parametrov Gaussovega mešanega modela. Ocenjevanje parametrov temelji na kombinaciji algoritma REBMIX in EM. REBMIX algo ...
Leto: 2021 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: Gumbel mixture model;parameter estimation;system safety;failure modelling;
The Gumbel mixture model is a popular tool for modelling extreme events with mixed formation mechanisms. The lack of a shape parameter in the Gumbel distribution makes it somewhat less practical for mixture modelling compared to the Weibull distribution, which is widely used in structural reliabilit ...
Leto: 2023 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: mešani modeli;ocena parametrov;grozdenje;nenadzorovana segmentacija slik;mixture models;parameter estimation;clustering;unsupervised image segmentation;
Unsupervised image segmentation is one of the most important and fundamental tasks in many computer vision systems. Mixture model is a compelling framework for unsupervised image segmentation. A segmented image is obtained by clustering the pixel color values of the image with an estimated mixture m ...
Leto: 2022 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: fault classification;fault detection;mixture models;REBMIX algorithm;EM algorithm;
Fault detection and classification is an important part of assessing the structural and system health status. The classification and detection of faults and faulty units is mostly done with statistical methods. After the data are measured and collected, the use of statistical software is necessary. ...
Leto: 2023 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: spektralno grozdenje;mešani modeli;barvne lastnosti;pozicijske lastnosti;segmentacija slik;spectral clustering;mixture models;color features;spatial features;image segmentation;
The demand for accurate and reliable unsupervised image segmentation methods is high. Regardless of whether we are faced with a problem for which we do not have a usable training dataset, or whether it is not possible to obtain one, we still need to be able to extract the desired information from im ...
Leto: 2023 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: Cowper–Symonds model;digital image correlation (DIC);integral measure of deviation;multi-criterion optimisation;high-strength steel;
Cowper–Symonds parameters were estimated for the complex-phase high-strength steel with a commercial name of SZBS800. The parameter estimation was based on a series of conventional tensile tests and unconventional high-strain rate experiments. The parameters were estimated using a reverse engineerin ...
Leto: 2024 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: mešani model;prostorska regularizacija;Markova naključna polja;celične strukture;poroznost;mixture model;spatial regularisation;Markov random fields;cellular metals;porosity;
Characterising the structure of cellular metals is a difficult task. The internal structure of cellular metals can be determined using micro-computed tomography (mCT). However, mCT scanning provides digital images in greyscale with various problematic artefacts. In addition, the grey intensity of ce ...
Leto: 2024 Vir: Fakulteta za strojništvo (UL FS)
Št. zadetkov: 10
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: