計算機視覺論文筆記五：Maximal Linear Embedding for Dimensionality Reduction
版權論文作者所有，本筆記僅用作學術交流,主要是做個筆記。這篇論文寫的很友好，很清楚，你腦子裏出現了什麼疑問，下一句就是答案。而且是工科思維，很多實現細節作者也會提到，整篇論文幾乎就是有不能更詳細註釋的代碼！！我的鴿，被校友的論文圈粉了。我也要向着這種方向思考，寫作。 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VO
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相關文章
- 1. Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 2. 論文筆記：Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 3. 【論文翻譯】：Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 4. 【論文翻譯】Nonlinear Dimensionality Reduction by Locally Linear Embedding
- 5. [UFLDL] Dimensionality Reduction
- 6. [Scikit-learn] 1.2 Dimensionality reduction - Linear and Quadratic Discriminant Analysis
- 7. 計算機視覺論文
- 8. 子空間學習論文筆記02:Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- 9. 【論文筆記】Embedding of Embedding (EOE) : Joint Embedding for Coupled Heterogeneous Networks
- 10. Dimensionality Reduction(降維)