FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4324069218> ?p ?o ?g. }

• W4324069218 endingPage "115215" @default.
• W4324069218 startingPage "115215" @default.
• W4324069218 abstract "The matrix completion (MC) problem aims to recover the complete matrix from the observed matrix with missing entries. The unknown matrix is generally assumed to have a low-rank structure. It is well known that the low-rank minimization problem is NP-hard, so the rank function of the matrix is approximated by a surrogate function. In this paper, we firs t apply the optimization transfer technique to formulate the minimization problem into a bi-variate minimization problem by adding an auxiliary variable. We apply the alternating minimization method to find the minimizer of the bi-variate minimization problem. For the auxiliary variable, the minimum can be formulated as a linear combination of the observation data and the original variable. For the original variable, the minimum is a generalized singular thresholding (GSVT) operator of the auxiliary variable. However, most existing iteration methods for matrix completion problem use fixed thresholding value and also suffer from full singular value decomposition (SVD), which need more computation time for iteration. Thus, they become inefficient for large-scale problems. In order to handle these limitations, we apply the continuation strategy and the randomized singular value decomposition (RSVD) to reduce the computational costs. The threshold value of the continuous strategy is reduced in each iteration until a given minimum thresholding value is reached, while the RSVD only needs to decompose small-scale matrices. Hence, using both strategies simultaneously can effectively reduce the computation time for iteration. Numerical experiments demonstrate that the proposed algorithm can effectively recover the missing entries both in synthetic and real data." @default.
• W4324069218 created "2023-03-14" @default.
• W4324069218 creator A5008017308 @default.
• W4324069218 creator A5033802995 @default.
• W4324069218 creator A5081034893 @default.
• W4324069218 date "2023-09-01" @default.
• W4324069218 modified "2023-10-16" @default.
• W4324069218 title "Accelerated matrix completion algorithm using continuation strategy and randomized SVD" @default.
• W4324069218 cites W1922005389 @default.
• W4324069218 cites W1943431218 @default.
• W4324069218 cites W1965125844 @default.
• W4324069218 cites W1966661320 @default.
• W4324069218 cites W1969387119 @default.
• W4324069218 cites W1980500788 @default.
• W4324069218 cites W1986523741 @default.
• W4324069218 cites W2009702064 @default.
• W4324069218 cites W2011359124 @default.
• W4324069218 cites W2056201402 @default.
• W4324069218 cites W2057261601 @default.
• W4324069218 cites W2074682976 @default.
• W4324069218 cites W2084603169 @default.
• W4324069218 cites W2103972604 @default.
• W4324069218 cites W2108379305 @default.
• W4324069218 cites W2117756735 @default.
• W4324069218 cites W2118550318 @default.
• W4324069218 cites W2158940042 @default.
• W4324069218 cites W2189846329 @default.
• W4324069218 cites W2505029951 @default.
• W4324069218 cites W2508393166 @default.
• W4324069218 cites W2588599464 @default.
• W4324069218 cites W2611328865 @default.
• W4324069218 cites W2886697509 @default.
• W4324069218 cites W2895468745 @default.
• W4324069218 cites W2899649398 @default.
• W4324069218 cites W2945177740 @default.
• W4324069218 cites W3102415113 @default.
• W4324069218 cites W3128326574 @default.
• W4324069218 cites W317954863 @default.
• W4324069218 cites W4213023287 @default.
• W4324069218 cites W4285288115 @default.
• W4324069218 doi "https://doi.org/10.1016/j.cam.2023.115215" @default.
• W4324069218 hasPublicationYear "2023" @default.
• W4324069218 type Work @default.
• W4324069218 citedByCount "0" @default.
• W4324069218 crossrefType "journal-article" @default.
• W4324069218 hasAuthorship W4324069218A5008017308 @default.
• W4324069218 hasAuthorship W4324069218A5033802995 @default.
• W4324069218 hasAuthorship W4324069218A5081034893 @default.
• W4324069218 hasConcept C106487976 @default.
• W4324069218 hasConcept C109282560 @default.
• W4324069218 hasConcept C11413529 @default.
• W4324069218 hasConcept C114614502 @default.
• W4324069218 hasConcept C115961682 @default.
• W4324069218 hasConcept C121332964 @default.
• W4324069218 hasConcept C126255220 @default.
• W4324069218 hasConcept C134306372 @default.
• W4324069218 hasConcept C147764199 @default.
• W4324069218 hasConcept C154945302 @default.
• W4324069218 hasConcept C158693339 @default.
• W4324069218 hasConcept C159985019 @default.
• W4324069218 hasConcept C163716315 @default.
• W4324069218 hasConcept C164226766 @default.
• W4324069218 hasConcept C182365436 @default.
• W4324069218 hasConcept C191178318 @default.
• W4324069218 hasConcept C192562407 @default.
• W4324069218 hasConcept C22789450 @default.
• W4324069218 hasConcept C25023664 @default.
• W4324069218 hasConcept C2778459887 @default.
• W4324069218 hasConcept C33923547 @default.
• W4324069218 hasConcept C41008148 @default.
• W4324069218 hasConcept C45374587 @default.
• W4324069218 hasConcept C62520636 @default.
• W4324069218 hasConcept C90199385 @default.
• W4324069218 hasConceptScore W4324069218C106487976 @default.
• W4324069218 hasConceptScore W4324069218C109282560 @default.
• W4324069218 hasConceptScore W4324069218C11413529 @default.
• W4324069218 hasConceptScore W4324069218C114614502 @default.
• W4324069218 hasConceptScore W4324069218C115961682 @default.
• W4324069218 hasConceptScore W4324069218C121332964 @default.
• W4324069218 hasConceptScore W4324069218C126255220 @default.
• W4324069218 hasConceptScore W4324069218C134306372 @default.
• W4324069218 hasConceptScore W4324069218C147764199 @default.
• W4324069218 hasConceptScore W4324069218C154945302 @default.
• W4324069218 hasConceptScore W4324069218C158693339 @default.
• W4324069218 hasConceptScore W4324069218C159985019 @default.
• W4324069218 hasConceptScore W4324069218C163716315 @default.
• W4324069218 hasConceptScore W4324069218C164226766 @default.
• W4324069218 hasConceptScore W4324069218C182365436 @default.
• W4324069218 hasConceptScore W4324069218C191178318 @default.
• W4324069218 hasConceptScore W4324069218C192562407 @default.
• W4324069218 hasConceptScore W4324069218C22789450 @default.
• W4324069218 hasConceptScore W4324069218C25023664 @default.
• W4324069218 hasConceptScore W4324069218C2778459887 @default.
• W4324069218 hasConceptScore W4324069218C33923547 @default.
• W4324069218 hasConceptScore W4324069218C41008148 @default.
• W4324069218 hasConceptScore W4324069218C45374587 @default.
• W4324069218 hasConceptScore W4324069218C62520636 @default.
• W4324069218 hasConceptScore W4324069218C90199385 @default.

• next