論文筆記-《Ordinal Constraint Binary Coding for Approximate Nearest Neighbor Search》
Introduction 前面說了很多用處不大的話【其實介紹了其他的一些哈希技術，因爲是論文筆記，不是論文翻譯所以會取捨很多】 重點： 現有的幾種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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相關文章
- 1. Product quantization for nearest neighbor search
- 2. 論文筆記-《Top Rank Supervised Binary Coding for Visual Search》
- 3. 論文閱讀筆記《SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning》
- 4. SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning 論文筆記
- 5. k-Nearest Neighbor
- 6. 論文《Adversarial Binary Coding for Efficient Person Re-identification》翻譯&筆記
- 7. 論文筆記 - Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search
- 8. 論文筆記：Selective Search for Object Recognition
- 9. 論文筆記《Selective Search for object recognition》
- 10. Siamese Instance Search for Tracking論文筆記