[cvpr2017]Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
线性判别分析 线性判别分析LDA原理总结 三个散度矩阵： LDA上的三个散度矩阵 introduction 作者提出了一个称为Joint Geometrical and Statistical Alignment (JGSA)的框架，用于减少source domain和target domain之间的统计量上和几何上的差异(shift) 具体来说，就是学习source domain和target
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相关文章
- 1. (JGSA) Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
- 2. Deep CORAL: Correlation Alignment for Deep Domain Adaptation（2016）
- 3. Deep CORAL: Correlation Alignment for Deep Domain Adaptation
- 4. 笔记：Domain Adaptation on the Statistical Manifold
- 5. Domain Adaptation总结（2017.9）
- 6. Deep visual domain adaptation: A survey
- 7. 域适应学习笔记：visual Domain Adaptation
- 8. 论文笔记：Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
- 9. Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image
- 10. Maximum Classifier Discrepancy for Unsupervised Domain Adaptation