In [30], research was proposed analyzing layers of a 3D-CNN using a Gaussian mixture model (GMM) and binary encoding of training and test pictures based on their GMM components to yield comparable 3D images as explanations. As an explanation for its conclusion, the algorithm returned activation...
混合高斯分布(GMM,GaussianMixture Model) 这个时候很显然若使用两个高斯分布来拟合,加上二者的权重效果比单个的高斯分布要好得多!若是不止两个山峰那最好就是再多几个高斯的分布同时来拟合。 智能推荐 Canny边缘检测算法原理及其VC实现详解 Canny算法的实现流程 由于本文主要目的在于学习和实现算法,而对于图像读取、...
CNVtools33 and a two-dimensional model (Gaussian mixture)31, are used to infer the copy num- bers from the maximum posterior likelihood function. A meta-approach combining the two algorithms and other criteria are used to further refine the discrete copy number classes to ensure reliable copy ...
The pricing of options using normal mixture density functions to model returns; the use of Monte Carlo simulation to calculate the VaR of an options portfolio; modifying the covariance VaR to allow for fat–tailed P&L distributions; ... G Pierre - 《Journal of Financial Econometrics》 被引量...
To evaluate the optimal number of clusters that can best describe both the empirical weight distributions as well as the simulated neuronal responses, Dirichlet process with Gaussian mixture modelling58and time-series K-Means analysis81were performed using the scikit-learn82and tslearn59Python machine ...
In this study, we applied the Gaussian mixture model-based binning method to time-series postural data for 322C. elegansstrains. We revealed that the occurrence patterns of the postural states and the transition patterns among these states have a relationship as expected, and such a relationship ...
Table 5:Top-1% self-supervisedAcc(↑) forMNIST, FashionMNIST, CIFAR10, andCelebA(gender classification) using a linear probe (LP) and Gaussian Mixture Model (GMM) classification methods; We reportmeanand standard errors over three runs; Bold indicate best scores in each method class: generative...
Analysis of mixture model fits Individual parameter estimates averaged across participants are shown in Fig. 2A (black bars). (Note that model fits for each condition were also obtained for response distributions aggregated over participants, with very similar results. Data from these fits (using the...
According to the simple source model (eq. 4) for a Gaussian SRT (Fig. 3a), the generated acoustic transient is described by: $$\delta p(t)=-\,\frac{\rho }{2\pi r}\frac{t/\tau -{\mu }_{g}}{\tau {\sigma }_{g}^{2}}{\dot{V}}_{g}(t)$$ (5) which represents an...
As residuals were already normally distributed, we used the untransformed data of the number of species with seedling recruitment as response variable and applied generalized linear mixed model with Gaussian error distribution. Rodent exclusion, gastropod exclusion, disturbance, species origin were ...