Results 31 to 40 of about 486,752 (312)
GVF-based anisotropic diffusion models [PDF]
, 2006 In this paper, the gradient vector flow fields are introduced in image restoration. Within the context of flow fields, the shock filter, mean curvature flow, and Perona-Malik equation are reformulated.
Chua, Chin-seng, Yu, Hongchuan
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Diffusion models of option pricing: Review of some local volatility models (LVM) and stochastic volatility models (SVM) with computational examples [PDF]
, 2023 This paper is about financial models based on diffusion. And such models are represented by the Stochastic differential equation (SDE) driven by a Brownian motion. In this paper we are considering local volatility models and stochastic volatility models.
Boskov, Tatjana, Josheski, Dushko
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Modelling Diffusion in Silicides
Le Journal de Physique Colloques, 1988 This paper outlines models for the redistribution of dopant during the incorporation of silicides in VLSI processes.
Moynagh, P., Brown, A., Rosser, P.
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Latent diffusion models for survival analysis [PDF]
, 2010 We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate.
Laura M. Sangalli +5 more
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Transactions of the International Society for Music Information Retrieval, 2020 Pitch-class distributions are of central relevance in music information retrieval, computational musicology and various other fields, such as music perception and cognition. However, despite their structure being closely related to the cognitively and musically relevant properties of a piece, many existing approaches treat pitch-class distributions as ...
Robert Lieck +2 more
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Physical Review E, 2008 We study here the random diffusion model. This is a continuum model for a conserved scalar density field $ϕ$ driven by diffusive dynamics. The interesting feature of the dynamics is that the {\it bare} diffusion coefficient $D$ is density dependent. In the simplest case $D=\bar{D}+D_{1}δϕ$ where $\bar{D}$ is the constant average diffusion constant.
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Evaluation of the Impact of b-Value Ranges on Six Body Diffusion Models in Prostate Application
Chinese Journal of Magnetic ResonanceThis paper investigated the impact of different b-value acquisition ranges (from 0 to 2 500 s/mm2) on the quantitative parameter calculation of six body diffusion models, including mono-exponential (Mono), diffusion kurtosis imaging (DKI), intravoxel ...
ZHOU Minxiong +11 more
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Generative models such as Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are widely utilized to model the generative process of user interactions. However, these generative models suffer from intrinsic limitations such as the instability of GANs and the restricted representation ability of VAEs.
Wenjie Wang 0007 +5 more
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