Construct · 1 fields · 1 citations

K-SVD: a standalone construct

One name. One construct. A landmark on the map.

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K-SVD1 CONSTRUCTK-SVDAHARON · SIGNAL PROCESSING

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Signal processing

a dictionary learning algorithm that alternates sparse coding with atom-by-atom updates via singular value decomposition to fit an overcomplete dictionary to data.

In signal processing, K-SVD refers to a dictionary learning algorithm that alternates sparse coding with atom-by-atom updates via singular value decomposition to fit an overcomplete dictionary to data. This meaning comes from Aharon (2006) in IEEE Transactions on Signal Processing.[1]

Unit
Recovery means
Measured by

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Nearby constructs

dictionary3 fields · 3 citationsjingle · one word, three constructslearning6 fields · 14 citationsjingle · one name, six constructssignal5 fields · 5 citationsjingle · one word, five constructs

References

  1. Aharon, M., Elad, M., & Bruckstein, A. (2006). $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation. IEEE Transactions on Signal Processing, 54(11), 4311-4322. https://doi.org/10.1109/tsp.2006.881199

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