Signal Processing
由卷积扩展诱导的稀疏LASSO (SLICE)
Sparser LASSO induced by convolutional expansion (SLICE)SLICE is a regularization technique for sparse regression that utilizes convolutional expansion to induce sparsity in the LASSO (Least Absolute Shrinkage and Selection Operator) framework. / SLICE是一种用于稀疏回归的正则化技术，利用卷积扩展在LASSO（最小绝对收缩和选择算子）框架中诱导稀疏性。
- Knowledge type
- 工艺技术
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- Turkey Farm member
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- 农场主
- Last updated
- 2026-11-06 21:06:17
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LASSO: Least Absolute Shrinkage and Selection OperatorConvolutional Expansion: Method to induce sparsityGamma Spectroscopy: Application domain
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Related literature
ranked by community starsSparser LASSO induced by convolutional expansion (SLICE) for robust peak localization in gamma spectroscopyOpen source
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