论文阅读 (十六)：Image Annotation By Multiple-Instance Learning With Discriminative Feature Mapping (MILFM)
文章目录 引入 1 MILFM 1.1 特征映射：动机及方法 1.1.1 MIL范式 1.1.1.1 传统MIL 1.1.1.2 Weidmann’s presence-based MIL 1.1.1.3 Concurrent MIL 1.1.2 实例原型 1.1.3 距离函数 1.1.4 包映射 1.2 AdaBoost特征选择及分类学习 1.2.1 AdaBoost弱分类器选择 1.2.2 A
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相关文章
- 1. 论文阅读 (八)：Multi-instance Learning with Discriminative Bag Mapping (2018MILDM)
- 2. 论文阅读-《Learning Deep Features for Discriminative Localization》
- 3. 论文阅读笔记（五十六）：Image Super-Resolution Using Deep Convolutional Networks
- 4. 【论文阅读】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
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