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WebJun 10, 2024 · Most existing dictionary learning methods use the ℓ0 or ℓ1 norm as regularization to promote sparsity, which neglects the redundant information in … Webthe dictionary overcomplete). In this setting, sparse coding with an ℓ1 regularization1 amounts to computing R⋆(x,D) = min α∈Rk x−Dα 2 2 +λ 1 α .(1) It is well known in the statistics, optimization, and compressed sensing communities that the ℓ1 penalty yields a sparse solution, very few non-zero coefficients in α, although there is no explicit floro to oslo by bus

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