[cvpr2017]Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
線性判別分析 線性判別分析LDA原理總結 三個散度矩陣： LDA上的三個散度矩陣 introduction 作者提出了一個稱爲Joint Geometrical and Statistical Alignment (JGSA)的框架，用於減少source domain和target domain之間的統計量上和幾何上的差異(shift) 具體來說，就是學習source domain和target
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相關文章
- 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. 筆記：Domain Adaptation on the Statistical Manifold
- 5. Domain Adaptation總結（2017.9）
- 6. Deep visual domain adaptation: A survey
- 7. 域適應學習筆記：visual Domain Adaptation
- 8. 論文筆記：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