计算机视觉论文笔记五：Maximal Linear Embedding for Dimensionality Reduction
版权论文作者所有，本笔记仅用作学术交流,主要是做个笔记。这篇论文写的很友好，很清楚，你脑子里出现了什么疑问，下一句就是答案。而且是工科思维，很多实现细节作者也会提到，整篇论文几乎就是有不能更详细注释的代码！！我的鸽，被校友的论文圈粉了。我也要向着这种方向思考，写作。 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VO
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- 1. Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 2. 论文笔记：Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 3. 【论文翻译】：Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 4. 【论文翻译】Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 5. [UFLDL] Dimensionality Reduction
- 6. [Scikit-learn] 1.2 Dimensionality reduction - Linear and Quadratic Discriminant Analysis
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- 8. 子空间学习论文笔记02:Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- 9. 【论文笔记】Embedding of Embedding (EOE) : Joint Embedding for Coupled Heterogeneous Networks
- 10. Dimensionality Reduction(降维)