视觉信息学文章中缺少竞争利益声明的勘误表

视觉信息学4（2020）40关于以前发表的文章中缺少竞争利益声明的勘误表ar t i cl e i nf o文章历史记录：在线预订2020年竞争利益声明不包括在以下文章的出版版本中，这些文章出现在以前的视觉信息学中。竞争利益声明：作者声明，他们没有已知的竞争经济利益或个人关系，可能会影响这些论文中报告的工作‘‘Prediction-based“用于可视化运动和接触模式的时空流图”[VISINF 1/1（2017）57-64] https：//10.1016/j.visinf.2017. 一点零七分‘‘Hair-GAN: Recovering 3D hair structure from a single image using generative adversarial networks’’ [VISINF 3/2 (2019) 102–112]‘‘Group optimization for multi-attribute visual embedding’’ [VISINF 2/3 (2018) 181–189]‘‘The efficacy of stacked bar charts in supporting single-attribute and overall-attribute comparisons’’ [VISINF 2/3 (2018) 155–165]‘‘Support-Free Interior Carving for 3D Printing’’ [VISINF 1/1 (2017) 9–15]‘‘Visual‘‘Watermarking‘‘Interactive Labelling of a Multivariate Dataset for Supervised Machine Learning using Linked Visualizations, Clustering, and ActiveLearning’’‘‘A‘‘A‘‘A visual analytics system for optimizing the performance of large-scale networks in supercomputing systems’’ [VISINF 2/1 (2018) 98–110]‘‘Concise原创文章的DOI：https://doi.org/10.1016/j.visinf.2018.09.002，https://doi.org/10.1016/j.visinf.2018.11.001，https://doi.org/10.1016/j.visinf.2018.03.001，https://doi.org/10.1016/j.visinf.2017.01.003，https://doi.org/10.1016/j.visinf.2017.01.002，https://doi.org/10.1016/j.visinf.2019.03.002，https://doi.org/10.1016/j.visinf.2020.11.001，https://doi.org/10.1016/j.visinf.2018.12.004，https://doi.org/10.1016/j.visinf.2018.04.010，https://doi.org/10.1016/j.visinf.2019.06.001、https://doi.org/10.1016/j.visinf.2018.12.005https://doi.org/10.1016/j.visinf.2017.09.001、https://doi.org/10.1016/j.visinf.2017.01.007、https://doi.org/10.1016/j.visinf.2018.09.004、https://doi.org/10.1016/j.visinf.2018.09.003。https://doi.org/10.1016/j.visinf.2020.11.0022468- 502 X/©2020作者。 由Elsevier B.V.代表浙江大学和浙江大学出版社出版。可在ScienceDirect上获得目录列表视觉信息学期刊主页：www.elsevier.com/locate/visinf