hypnogram
发表于 2025-3-26 21:39:59
Two Algorithms for Compressed Sensing of Sparse Tensors, a sparse signal from relatively few linear measurements via a suitable nonlinear minimization process. Conventional CS theory relies on vectorial data representation, which results in good compression ratios at the expense of increased computational complexity. In applications involving color image
Indebted
发表于 2025-3-27 03:00:05
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烦躁的女人
发表于 2025-3-27 05:27:58
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inundate
发表于 2025-3-27 12:24:08
Structured Sparsity: Discrete and Convex Approaches,learning, and optimization. In fact, most natural data can be . represented, i.e., a small set of coefficients is sufficient to describe the data using an appropriate basis. Sparsity is also used to enhance interpretability in real-life applications, where the relevant information therein typically
没有准备
发表于 2025-3-27 13:56:28
Explicit Matrices with the Restricted Isometry Property: Breaking the Square-Root Bottleneck,ucted using random processes, while explicit constructions are notorious for performing at the “square-root bottleneck,” i.e., they only accept sparsity levels on the order of the square root of the number of measurements. The only known explicit matrix which surpasses this bottleneck was constructe
江湖郎中
发表于 2025-3-27 17:48:54
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裁决
发表于 2025-3-28 01:17:15
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Aids209
发表于 2025-3-28 02:48:15
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正式演说
发表于 2025-3-28 07:52:08
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臭名昭著
发表于 2025-3-28 11:57:40
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