论文笔记-《Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search》
Introduction 前面说了很多用处不大的话【其实介绍了其他的一些哈希技术，因为是论文笔记，不是论文翻译所以会取舍很多】 重点： 现有的几种排序敏感的哈希算法： Hamming distance metric learning (HDML) Ranking-based Supervised Hashing (RSH) Top-Rank Supervised Binary Coding (To
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相关文章
- 1. Product quantization for nearest neighbor search
- 2. 论文笔记-《Top Rank Supervised Binary Coding for Visual Search》
- 3. 论文阅读笔记《SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning》
- 4. SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning 论文笔记
- 5. k-Nearest Neighbor
- 6. 论文《Adversarial Binary Coding for Efficient Person Re-identification》翻译&笔记
- 7. 论文笔记 - Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search
- 8. 论文笔记：Selective Search for Object Recognition
- 9. 论文笔记《Selective Search for object recognition》
- 10. Siamese Instance Search for Tracking论文笔记