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BM3D去噪算法的实现和相关文档，很好的去噪算法-Image and video denoising by sparse 3D transform-domain collaborative filtering
Block-matching and 3D filtering (BM3D) algorithm
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协同过滤算法的java实现版本，包括从数据文件中读取文件-Collaborative filtering algorithm to achieve the java version, including file read from the data file
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VapourSynth-BM3D-master BM3D算法的原创代码，运行速度超快，参考文献《Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering》-VapourSynth-BM3D-master BM3D original algorithm code, run super-fast, Reference " Image Denoising by Sparse 3-D Transform-Doma
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Andrew Ng Cousera 机器学习 异常检测勇于服务器故障分析以及用于电影推荐的推荐系统的源代码和说明文档。(Andrew Ng Cousera's machine learning implement the anomaly detection algorithm and apply it to detect failing servers on a network. In the second part, you will use collaborative filtering t
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协同滤波去噪（主要是对于图像的去噪），其中加入了为纳滤波，dct等方式的融合滤波(Collaborative filtering)
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This is BM3D algorithm implemented according to the paper:
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering,” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August
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