論文閱讀 (十六)：Image Annotation By Multiple-Instance Learning With Discriminative Feature Mapping (MILFM)
文章目錄 引入 1 MILFM 1.1 特徵映射：動機及方法 1.1.1 MIL範式 1.1.1.1 傳統MIL 1.1.1.2 Weidmann’s presence-based MIL 1.1.1.3 Concurrent MIL 1.1.2 實例原型 1.1.3 距離函數 1.1.4 包映射 1.2 AdaBoost特徵選擇及分類學習 1.2.1 AdaBoost弱分類器選擇 1.2.2 A
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相關文章
- 1. 論文閱讀 (八)：Multi-instance Learning with Discriminative Bag Mapping (2018MILDM)
- 2. 論文閱讀-《Learning Deep Features for Discriminative Localization》
- 3. 論文閱讀筆記（五十六）：Image Super-Resolution Using Deep Convolutional Networks
- 4. 【論文閱讀】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
- 5. 論文閱讀筆記：Learning Deep Features for Discriminative Localization
- 6. 論文閱讀理解 - CenterLoss: A Discriminative Feature Learning Approach
- 7. [論文閱讀]Learning a Discriminative Feature Network for Semantic Segmentation
- 8. [論文閱讀]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification
- 9. 【論文閱讀】Deep Residual Learning for Image Recognition
- 10. Machine Learning & Deep Learning 論文閱讀筆記