Comparison with variational model
Analysis of a new variational model for image multiplicative denoising
... the model including the lower semicontinuity, the differential property, the convergence and regu- larization of its mollification φ ...the model under appropriate assumptions. Furthermore, a ...
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Multiplicative Noise Removal via a Novel Variational Model
... Table 1 lists the PSNR, ISNR, and ReErr results by different methods on the six noisy gray level images. From Table 1, we can see that the PSNRs and ISNRs of the images restored by using our method are more than those ...
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A novel variational model for image registration using Gaussian curvature
... Figure 7: Test 2: A pair of Brain MR images. Comparison of Gaussian curvature with competing methods. The transformed template image using (a) Model D, (b) Model LC, (c) Model MC, and (d) ...
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Convergence analysis of the Bregman method for the variational model of image denoising
... In comparison, we applied the Bregman method to each subimage obtained from wavelet packet decomposition. Thus, our algorithm is different from the aforementioned schemes. Denoising for texture rich images has ...
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Variational Hierarchical User based Conversation Model
... 3: Comparison of various models using BLEU, Embedding, and ROUGE-L scores, which measure the quality of the generated responses with respect to the ground ...
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Comparison of variational balance models for the rotating shallow water equations
... a comparison of the balance model dynamics to a consistently initialized simulation of the full shallow water equations over a moderate interval of time chosen such that the Eulerian fields experience an ...
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Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis
... linear model (GLM) with regressors based on the canon- ical hemodynamic response ...a comparison with an alternative varia- tional expectation-maximization (VEM) algorithm on synthetic and real ...
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A comparison of variational approximations for fast inference in mixed logit models
... son (2000) and contained stated-preference choices made by 500 households among alternative- fueled vehicles. Each of the respondents considered 15 choice sets with several attributes describing the alternatives. Train ...
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3D Variational Analysis In Subsurface Contaminant Transport Model
... in comparison with the irregular shape of simulated true ...in comparison with the numerical solution but the KF solution gives much higher concentration values compared to the true values at the same ...in ...
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Variational image segmentation model coupled with image restoration achievements
... Mumford-Shah model (4) to man- age blurry image, and then applying a novel segmentation model by composing model (4) with a data fidelity term borrowed from the field of image ...proposed ...
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Existence and comparison results for variational hemivariational inequalities
... elliptic variational-hemivariational inequalities involving the indicator function of some closed convex set and a locally Lipschitz func- ...for variational- hemivariational ...
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General Comparison Principle for Variational Hemivariational Inequalities
... for variational-hemivariational inequalities with or without the method of sub- and supersolutions have been obtained under different structure and regularity conditions on the nonlinear functions by various ...
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A CONVEX AND SELECTIVE VARIATIONAL MODEL FOR IMAGE SEGMENTATION
... We set the time step at τ = 10 −2 and ς = 0.1 , except in Test Set 3, where they are varied to demonstrate the benets of the improved AOS method. The only restriction on 2 is that it is small; we select it as 2 = 10 −6 . ...
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Variational study of the random-field XY model
... Gaussian variational approach is applied to the d -dimensional ferromagnetic XY model in a random ...the variational free energy, implying a random mass term in correlation ...this variational ...
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Variational Bayesian Learning of Mixed Erlang Model
... 常用的参数估计法同时也包含EM算法，Dempster最早介绍了EM 算法的详 细说明，当似然函数最大值点不易计算时，可用迭代算法得到最大值点。王继霞 等人将EM 算法用于有限混合Laplace分布的估计。Panchenko和Thümmler; Thümmler等人在网络流量分析的分析中应用了MER分布的EM算法。在EM算法 中，我们需要评估关于潜在变量的后验分布的完全数据对数似然性的期望。针对 EM ...
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A Variational Model for Removing Multiple Multiplicative Noises
... a variational model to remove multiplicative ...solve variational model minimization ...proposed model can not only effec- tively remove Gamma noise, but also Rayleigh noise, as well as ...
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A Nonlinear Entropic Variational Model for Image Filtering
... information-theoretic variational filter for image ...negentropy variational integral for small gradient magnitudes and a total variational integral for large gradient ...
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On the benefits for model regularization of a variational formulation of GTM
... for model regularization of a Variational formulation of GTM Iv´an Olier and Alfredo Vellido Abstract— Generative Topographic Mapping (GTM) is a manifold learning model for the simultaneous ...
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Existence, comparison, and compactness results for quasilinear variational hemivariational inequalities
... to variational- hemivariational inequalities involving more general quasilinear elliptic operators of Leray-Lions type and functions j : Ω × R → R depending also on the space variable x, which, however, has been ...
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CiteSeerX — Variational bayesian model selection for mixture distributions
... Figure 3: Best variational likelihood bound and plain EM cross-validation score as a function of the fixed assumed number of mixture components on 600 points drawn from a mixture of 5 bi[r] ...
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