Gaussian Mixture Model with Local Consistency. In Proceedings of the 24th AAAI Conference on Artificial Intelligence, Atlanta, GA, USA, 11-15 July 2010; pp. 512-517.Liu Jialu, Cai Deng, He Xiaofei, et al. Gaussianmixture model with local consistency [C] // Proceed-ings of the 24th AAAI...
On the Uncertainty Identification for Linear Dynamic Systems Using Stochastic Embedding Approach with Gaussian Mixture Models. In control and monitoring of manufacturing processes, it is key to understand model uncertainty in order to achieve the required levels of consistency, qua... R Orellana,R Carv...
Consistency of Gaussian Process Prediction 来自 ResearchGate 喜欢 0 阅读量: 5 作者: C Williams 摘要: The purpose of this study is to make clear whether or not there is a relation between the five states that Japanese mothers,about to give birth,undergo,according to Rubin in "The process of...
Consequently, we propose to develop an extended spatial–temporal model based on linear non-Gaussian state-space structure. In particular, we will work with the GH class of scale mixture models. The GH model density (denoted by pGH), as discussed in Barndorff-Nielsen et al. (1982) can be ...
i.e. hole areas with foreground/background boundaries as they have a low spatial correlation. To address the issue, we propose a new hole filling technique using temporal correlation for better rendering image quality. In this paper Gaussian mixture based Dynamic Background Modelling (DBM) is use...
3 Skip consistency checks for XC quadrature. 4 Do not do extra work to use cutoffs better, currently only affects CalDFT. 5 Reverse normal choice of diagonal/canonical sampling in Prism and PrmRaf. The default is diagonal only on vector machines. 6 Trace input and output using Linda/subproc...
In this work, we present a novel method for approximating a normal distribution with a weighted sum of normal distributions. The approximation is used for splitting normally distributed components in a Gaussian mixture filter, such that components have s
likelihood functions are defined by a mixture model. Gaussian noise reduction The traditional methods of the restoration of color images contaminated with Gaussian noise are based on local averaging. The important drawback of these filters is their inability to suppress the impulsive distortions, which...
To tackle this challenge, we introduce a novel approach to optimize the 3D-GS representation in a canonical space by fusing the sparse cues in the common space, where we leverage a pre-trained 2D diffusion model to synthesize unseen views while keeping the consistency with the observed 2D ...
the peak and the capacity. As the number of cycles increased, the losses gradually accumulated, leading to a decrease in the consistency between area and capacity. Therefore, we also needed to conduct a quantitative analysis to further investigate the correlation between the proposed health ...