论文笔记（3）：Blessing of Dimensionality: High-dimensionality Feature and Its Efficient Compression
论文：Blessing of Dimensionality: High-dimensionality Feature and Its Efficient Compression for Face Verification 本文提出了高维度的特征有利于性能提升的观点。利用增加人脸特征点提取的数量，和采样多尺度图像金字塔，来对传统人脸特征（LBP, Gabor, HOG, SIFT）实现高维度版本。实
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相关文章
- 1. 论文笔记（3）：Blessing of Dimensionality: High-dimensionality Feature and Its Efficient Compression
- 2. 【论文笔记】SafeHidden: An Efficient and Secure Information
- 3. 论文笔记 [3] CNN去compression artifacts
- 4. 《EfficientDet：Scalable and Efficient Object Detection》论文笔记
- 5. 论文笔记《Deep Compression》
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- 7. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data 论文阅读笔记
- 8. 论文笔记：Efficient Graph-Based Image Segmentation
- 9. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
- 10. 阅读笔记：《Computationally Efficient Neural Image Compression》