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- K-SVD abstract "In applied mathematics, K-SVD is a dictionary learning algorithm for creating a dictionary for sparse representations, via a singular value decomposition approach. K-SVD is a generalization of the k-means clustering method, and it works by iteratively alternating between sparse coding the input data based on the current dictionary, and updating the atoms in the dictionary to better fit the data. K-SVD can be found widely in use in applications such as image processing, audio processing, biology, and document analysis.".
- K-SVD wikiPageID "39799215".
- K-SVD wikiPageLength "8251".
- K-SVD wikiPageOutDegree "23".
- K-SVD wikiPageRevisionID "705223624".
- K-SVD wikiPageWikiLink Applied_mathematics.
- K-SVD wikiPageWikiLink Category:Data_clustering_algorithms.
- K-SVD wikiPageWikiLink Category:Linear_algebra.
- K-SVD wikiPageWikiLink Category:Norms_(mathematics).
- K-SVD wikiPageWikiLink K-means_clustering.
- K-SVD wikiPageWikiLink Lp_space.
- K-SVD wikiPageWikiLink Machine_learning.
- K-SVD wikiPageWikiLink Matching_pursuit.
- K-SVD wikiPageWikiLink Matrix_norm.
- K-SVD wikiPageWikiLink Nearest_neighbor_search.
- K-SVD wikiPageWikiLink Norm_(mathematics).
- K-SVD wikiPageWikiLink Singular_value_decomposition.
- K-SVD wikiPageWikiLink Sparse_approximation.
- K-SVD wikiPageWikiLink Sparse_matrix.
- K-SVD wikiPageWikiLink Taxicab_geometry.
- K-SVD wikiPageWikiLink Uniform_norm.
- K-SVD wikiPageWikiLinkText "K-SVD".
- K-SVD wikiPageUsesTemplate Template:Better_source_needed.
- K-SVD wikiPageUsesTemplate Template:Close_paraphrasing.
- K-SVD wikiPageUsesTemplate Template:Machine_learning_bar.
- K-SVD wikiPageUsesTemplate Template:Main.
- K-SVD wikiPageUsesTemplate Template:Math.
- K-SVD wikiPageUsesTemplate Template:Mvar.
- K-SVD subject Category:Data_clustering_algorithms.
- K-SVD subject Category:Linear_algebra.
- K-SVD subject Category:Norms_(mathematics).
- K-SVD hypernym Algorithm.
- K-SVD type Software.
- K-SVD comment "In applied mathematics, K-SVD is a dictionary learning algorithm for creating a dictionary for sparse representations, via a singular value decomposition approach. K-SVD is a generalization of the k-means clustering method, and it works by iteratively alternating between sparse coding the input data based on the current dictionary, and updating the atoms in the dictionary to better fit the data.".
- K-SVD label "K-SVD".
- K-SVD sameAs Q17098361.
- K-SVD sameAs m.0w312dt.
- K-SVD sameAs Q17098361.
- K-SVD wasDerivedFrom K-SVD?oldid=705223624.
- K-SVD isPrimaryTopicOf K-SVD.