aAt the initial stage, images showed multi-modal distributions, peaks for test fluid (high signal), wet particles (medium signal), and dry particles(low signal). 在最初的阶段,图象显示了多语气发行、峰顶为测试流体(高信号),湿微粒(中等信号)和干燥微粒(低信号)。[translate] ...
Tempered stable distributionsmulti-modal distributionFinancial dataexponential Lévy modelVaR60E0791B8491B28The assumption of underlying return distribution plays an important role in asset pricing models. While the return distribution used in the traditional theories of asset pricing is the unimodal ...
This sub-section analyzes the use of limited transport modes during relief distributions and compares them in terms of cost, average delivery time, and unmet demand. The number of available vehicles per each transport mode is the same as the previous section. We let unmet demand transpire ...
Skilling, Exploring multi-modal distributions with nested sampling, in: AIP Conf. Proc., vol. 1553, AIP, New York, 2013, pp. 106-113. arXiv:1312.5638 astro-ph.IMFeroz, F. and J. Skilling (2013). Exploring multi-modal distributions with nested sampling. AIP Conference Proceedings 1553 (1...
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs[J]. 2019. 文章是继Social LSTM、Social GAN模型后的进一步提升,在理想的监控俯瞰数据库ETH、UCY上进行数据的预测。重点贡献有: 引入了注意力机制使模型自主分配对交互信息的关注。 舍弃了L2代价函数,引入基于互信息的Information...
This repository contains code for the paperGAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions, published in ICCV 2019. The full paper can be foundhere. If you find our research work helpful, please consider citing: ...
h Distributions of errors in model fit, grouped by whether the model is being used to predict activity in a scan of a different subject (N = 142880), the held-out scan from the same subject (N = 1140), or one of the scans used in fitting the weights (N = 380). i...
As this process relies on the detection of inflection points that depends itself on the adjustment of the density curve to the distribution, we start with an adjustment meant to detect global variations of distributions and if none are detected we test a more fitted adjustment to ensure no ...
we calculated the mean correlation of all edges that fell between/within every pair of systems. We then compared these observed values with null distributions generated using “spin tests” (1000 repetitions). System pairs for whom the observed correlation exceeded that of the null were considered ...
However, most existing datasets only contain data from one to three sensors, which is far from meeting the needs of practical industrial applications. Moreover, as the number of sensors increases, the data generated by different sensors may have different distributions, scales, and signal-to-noise...