为解决半监督语义分割中伪标签质量不高导致的模型性能受限问题，研究人员提出UCGM（Uncertainty and Cross-Image Gaussian Mixture Model）方法，通过不确定性加权和跨图像特征分布对齐优化伪标签。实验表明，该方法在PASCAL VOC 2012和Cityscapes数据集上显著提升分割精度，为 ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

Jörg Kienitz proposes a method for generating synthetic market data under the real-world measure P based on Gaussian mixture models (convex combinations of Gaussians). Once numerically fitted, the ...