Matches in SemOpenAlex for { <https://semopenalex.org/work/W3047907249> ?p ?o ?g. }
- W3047907249 endingPage "602" @default.
- W3047907249 startingPage "587" @default.
- W3047907249 abstract "Tucker decomposition is a standard method for processing multi-way (tensor) measurements and finds many applications in machine learning and data mining, among other fields. When tensor measurements arrive in a streaming fashion or are too many to jointly decompose, incremental Tucker analysis is preferred. In addition, dynamic adaptation of bases is desired when the nominal data subspaces change. At the same time, it has been documented that outliers in the data can significantly compromise the performance of existing methods for dynamic Tucker analysis. In this work, we present Dynamic L1-Tucker: an algorithm for dynamic and outlier-resistant Tucker analysis of tensor data. Our experimental studies on both real and synthetic datasets corroborate that the proposed method (i) attains high bases estimation performance, (ii) identifies/rejects outliers, and (iii) adapts to changes of the nominal subspaces." @default.
- W3047907249 created "2020-08-13" @default.
- W3047907249 creator A5005572706 @default.
- W3047907249 creator A5010876698 @default.
- W3047907249 creator A5016447762 @default.
- W3047907249 creator A5073389968 @default.
- W3047907249 date "2021-04-01" @default.
- W3047907249 modified "2023-10-17" @default.
- W3047907249 title "Dynamic L1-Norm Tucker Tensor Decomposition" @default.
- W3047907249 cites W1539726260 @default.
- W3047907249 cites W1549707591 @default.
- W3047907249 cites W1993589664 @default.
- W3047907249 cites W1999136078 @default.
- W3047907249 cites W2013912476 @default.
- W3047907249 cites W2024165284 @default.
- W3047907249 cites W2036926179 @default.
- W3047907249 cites W2037360998 @default.
- W3047907249 cites W2052524720 @default.
- W3047907249 cites W2067469651 @default.
- W3047907249 cites W2097581696 @default.
- W3047907249 cites W2102544846 @default.
- W3047907249 cites W2112755387 @default.
- W3047907249 cites W2119412403 @default.
- W3047907249 cites W2124490330 @default.
- W3047907249 cites W2171387626 @default.
- W3047907249 cites W2201600774 @default.
- W3047907249 cites W2241814552 @default.
- W3047907249 cites W2294755503 @default.
- W3047907249 cites W2469230926 @default.
- W3047907249 cites W2528907418 @default.
- W3047907249 cites W2529352582 @default.
- W3047907249 cites W2557761965 @default.
- W3047907249 cites W2768266469 @default.
- W3047907249 cites W2773706250 @default.
- W3047907249 cites W2792259212 @default.
- W3047907249 cites W2800391958 @default.
- W3047907249 cites W2808348679 @default.
- W3047907249 cites W2888562317 @default.
- W3047907249 cites W2891665990 @default.
- W3047907249 cites W2894994225 @default.
- W3047907249 cites W2907033687 @default.
- W3047907249 cites W2907662941 @default.
- W3047907249 cites W2919186794 @default.
- W3047907249 cites W2945990941 @default.
- W3047907249 cites W2963717374 @default.
- W3047907249 cites W2965049319 @default.
- W3047907249 cites W2966395992 @default.
- W3047907249 cites W2995423737 @default.
- W3047907249 cites W3013046848 @default.
- W3047907249 cites W3013337105 @default.
- W3047907249 cites W3015875064 @default.
- W3047907249 cites W3102489672 @default.
- W3047907249 cites W3105049931 @default.
- W3047907249 doi "https://doi.org/10.1109/jstsp.2021.3058846" @default.
- W3047907249 hasPublicationYear "2021" @default.
- W3047907249 type Work @default.
- W3047907249 sameAs 3047907249 @default.
- W3047907249 citedByCount "10" @default.
- W3047907249 countsByYear W30479072492021 @default.
- W3047907249 countsByYear W30479072492022 @default.
- W3047907249 countsByYear W30479072492023 @default.
- W3047907249 crossrefType "journal-article" @default.
- W3047907249 hasAuthorship W3047907249A5005572706 @default.
- W3047907249 hasAuthorship W3047907249A5010876698 @default.
- W3047907249 hasAuthorship W3047907249A5016447762 @default.
- W3047907249 hasAuthorship W3047907249A5073389968 @default.
- W3047907249 hasBestOaLocation W30479072491 @default.
- W3047907249 hasConcept C104317684 @default.
- W3047907249 hasConcept C11413529 @default.
- W3047907249 hasConcept C12362212 @default.
- W3047907249 hasConcept C124101348 @default.
- W3047907249 hasConcept C124681953 @default.
- W3047907249 hasConcept C126255220 @default.
- W3047907249 hasConcept C154945302 @default.
- W3047907249 hasConcept C155281189 @default.
- W3047907249 hasConcept C185592680 @default.
- W3047907249 hasConcept C18903297 @default.
- W3047907249 hasConcept C202444582 @default.
- W3047907249 hasConcept C2524010 @default.
- W3047907249 hasConcept C2986737658 @default.
- W3047907249 hasConcept C33923547 @default.
- W3047907249 hasConcept C41008148 @default.
- W3047907249 hasConcept C42704193 @default.
- W3047907249 hasConcept C55493867 @default.
- W3047907249 hasConcept C63479239 @default.
- W3047907249 hasConcept C79337645 @default.
- W3047907249 hasConcept C86803240 @default.
- W3047907249 hasConceptScore W3047907249C104317684 @default.
- W3047907249 hasConceptScore W3047907249C11413529 @default.
- W3047907249 hasConceptScore W3047907249C12362212 @default.
- W3047907249 hasConceptScore W3047907249C124101348 @default.
- W3047907249 hasConceptScore W3047907249C124681953 @default.
- W3047907249 hasConceptScore W3047907249C126255220 @default.
- W3047907249 hasConceptScore W3047907249C154945302 @default.
- W3047907249 hasConceptScore W3047907249C155281189 @default.
- W3047907249 hasConceptScore W3047907249C185592680 @default.
- W3047907249 hasConceptScore W3047907249C18903297 @default.
- W3047907249 hasConceptScore W3047907249C202444582 @default.