Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790083234> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2790083234 abstract "The current leading algorithms for both convolutional sparse coding and dictionary learning are based on variable splitting and Augmented Lagrangian methods. The dictionary learning algorithms alternate between sparse coding and dictionary subproblems, typically interleaving the updates for each of these two subproblems. Due to the variable splitting, in each subproblem one of these two variables must be chosen to be passed to the other subproblem. We perform a careful comparison of the algorithm convergence resulting from the different choices in conjunction with a number of different algorithms for the dictionary subproblem, showing that one of these choices consistently provides the best convergence." @default.
- W2790083234 created "2018-03-29" @default.
- W2790083234 creator A5015244709 @default.
- W2790083234 creator A5086975677 @default.
- W2790083234 date "2017-09-01" @default.
- W2790083234 modified "2023-09-27" @default.
- W2790083234 title "Subproblem coupling in convolutional dictionary learning" @default.
- W2790083234 cites W1946953458 @default.
- W2790083234 cites W2115429828 @default.
- W2790083234 cites W2117259536 @default.
- W2790083234 cites W2141200610 @default.
- W2790083234 cites W2164278908 @default.
- W2790083234 cites W2169488311 @default.
- W2790083234 cites W2190662802 @default.
- W2790083234 cites W2293078015 @default.
- W2790083234 cites W2362164969 @default.
- W2790083234 cites W2516327642 @default.
- W2790083234 cites W2029507661 @default.
- W2790083234 doi "https://doi.org/10.1109/icip.2017.8296571" @default.
- W2790083234 hasPublicationYear "2017" @default.
- W2790083234 type Work @default.
- W2790083234 sameAs 2790083234 @default.
- W2790083234 citedByCount "12" @default.
- W2790083234 countsByYear W27900832342018 @default.
- W2790083234 countsByYear W27900832342019 @default.
- W2790083234 countsByYear W27900832342020 @default.
- W2790083234 countsByYear W27900832342021 @default.
- W2790083234 countsByYear W27900832342022 @default.
- W2790083234 crossrefType "proceedings-article" @default.
- W2790083234 hasAuthorship W2790083234A5015244709 @default.
- W2790083234 hasAuthorship W2790083234A5086975677 @default.
- W2790083234 hasConcept C105795698 @default.
- W2790083234 hasConcept C111919701 @default.
- W2790083234 hasConcept C11413529 @default.
- W2790083234 hasConcept C124066611 @default.
- W2790083234 hasConcept C126255220 @default.
- W2790083234 hasConcept C134306372 @default.
- W2790083234 hasConcept C150452318 @default.
- W2790083234 hasConcept C154945302 @default.
- W2790083234 hasConcept C157899210 @default.
- W2790083234 hasConcept C162324750 @default.
- W2790083234 hasConcept C179518139 @default.
- W2790083234 hasConcept C182365436 @default.
- W2790083234 hasConcept C2777303404 @default.
- W2790083234 hasConcept C28034677 @default.
- W2790083234 hasConcept C2988886741 @default.
- W2790083234 hasConcept C33923547 @default.
- W2790083234 hasConcept C41008148 @default.
- W2790083234 hasConcept C50522688 @default.
- W2790083234 hasConcept C57273362 @default.
- W2790083234 hasConcept C77637269 @default.
- W2790083234 hasConceptScore W2790083234C105795698 @default.
- W2790083234 hasConceptScore W2790083234C111919701 @default.
- W2790083234 hasConceptScore W2790083234C11413529 @default.
- W2790083234 hasConceptScore W2790083234C124066611 @default.
- W2790083234 hasConceptScore W2790083234C126255220 @default.
- W2790083234 hasConceptScore W2790083234C134306372 @default.
- W2790083234 hasConceptScore W2790083234C150452318 @default.
- W2790083234 hasConceptScore W2790083234C154945302 @default.
- W2790083234 hasConceptScore W2790083234C157899210 @default.
- W2790083234 hasConceptScore W2790083234C162324750 @default.
- W2790083234 hasConceptScore W2790083234C179518139 @default.
- W2790083234 hasConceptScore W2790083234C182365436 @default.
- W2790083234 hasConceptScore W2790083234C2777303404 @default.
- W2790083234 hasConceptScore W2790083234C28034677 @default.
- W2790083234 hasConceptScore W2790083234C2988886741 @default.
- W2790083234 hasConceptScore W2790083234C33923547 @default.
- W2790083234 hasConceptScore W2790083234C41008148 @default.
- W2790083234 hasConceptScore W2790083234C50522688 @default.
- W2790083234 hasConceptScore W2790083234C57273362 @default.
- W2790083234 hasConceptScore W2790083234C77637269 @default.
- W2790083234 hasLocation W27900832341 @default.
- W2790083234 hasOpenAccess W2790083234 @default.
- W2790083234 hasPrimaryLocation W27900832341 @default.
- W2790083234 hasRelatedWork W2008732654 @default.
- W2790083234 hasRelatedWork W2045328647 @default.
- W2790083234 hasRelatedWork W2075687108 @default.
- W2790083234 hasRelatedWork W2115429828 @default.
- W2790083234 hasRelatedWork W2117259536 @default.
- W2790083234 hasRelatedWork W2141200610 @default.
- W2790083234 hasRelatedWork W2164278908 @default.
- W2790083234 hasRelatedWork W2170942078 @default.
- W2790083234 hasRelatedWork W2190662802 @default.
- W2790083234 hasRelatedWork W2202656999 @default.
- W2790083234 hasRelatedWork W2362164969 @default.
- W2790083234 hasRelatedWork W2464641472 @default.
- W2790083234 hasRelatedWork W2532801510 @default.
- W2790083234 hasRelatedWork W2952071070 @default.
- W2790083234 hasRelatedWork W2963368219 @default.
- W2790083234 hasRelatedWork W2980956598 @default.
- W2790083234 hasRelatedWork W2990934860 @default.
- W2790083234 hasRelatedWork W3116533667 @default.
- W2790083234 hasRelatedWork W3208336470 @default.
- W2790083234 hasRelatedWork W2029507661 @default.
- W2790083234 isParatext "false" @default.
- W2790083234 isRetracted "false" @default.
- W2790083234 magId "2790083234" @default.
- W2790083234 workType "article" @default.