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SVD (rifle) - Wikipedia
The SVD (СВД; Russian: снайперская винтовка Драгунова, romanized: snayperskaya vintovka Dragunova, lit. 'Dragunov sniper rifle'), GRAU index 6V1, [2] is a semi-automatic designated …
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SVD狙擊步槍 - 维基百科，自由的百科全书
德拉古諾夫狙击步枪 （俄语： Снайперская Винтовка системы Драгунова образца 1963 года，拉丁化：Snayperskaya Vintovka Dragunova obraztsa 1963 goda，意為：德拉古諾夫 …
【彻底搞懂】矩阵奇异值分解（SVD） - 知乎专栏
SVD 定义. 矩阵的奇异值分解是 酉等价型 的分解: A\in C^{m\times n} ， \exists 酉矩阵 U\in C^{m\times m}, V\in C^{n\times n}, 使得 A=U\Sigma V^{H} ， ( 其中H表示复共轭转置, …
Singular Value Decomposition (SVD) - GeeksforGeeks
2025年2月4日 · SVD (Singular Value Decomposition) is a linear algebra technique that decomposes a matrix into three simpler matrices, facilitating data analysis and manipulation, …
【Tensor Computation for Data Analysis】T-SVD（Tensor
2024年12月19日 · T-SVD 是基于 t-product 的分解，可以将张量分解为三个部分：正交张量、对角张量和另一个正交张量。 它在信号处理、图像修复、视频分析等多维数据处理中非常有用。 …
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【机器学习】这次终于彻底理解了奇异值分解(SVD)原理及应用-CS…
2022年2月9日 · 奇异值分解（Singular Value Decomposition，简称SVD）是线性代数中一个非常重要的概念，广泛应用于信号处理、图像分析、机器学习等多个领域。SVD能够将任何矩阵分 …