Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895931952> ?p ?o ?g. }
- W2895931952 abstract "Low-rank matrix approximations play a fundamental role in numerical linear algebra and signal processing applications. This paper introduces a novel rank-revealing matrix decomposition algorithm termed Compressed Randomized UTV (CoR-UTV) decomposition along with a CoR-UTV variant aided by the power method technique. CoR-UTV is primarily developed to compute an approximation to a low-rank input matrix by making use of random sampling schemes. Given a large and dense matrix of size $mtimes n$ with numerical rank $k$, where $k ll text{min} {m,n}$, CoR-UTV requires a few passes over the data, and runs in $O(mnk)$ floating-point operations. Furthermore, CoR-UTV can exploit modern computational platforms and, consequently, can be optimized for maximum efficiency. CoR-UTV is simple and accurate, and outperforms reported alternative methods in terms of efficiency and accuracy. Simulations with synthetic data as well as real data in image reconstruction and robust principal component analysis applications support our claims." @default.
- W2895931952 created "2018-10-26" @default.
- W2895931952 creator A5039334577 @default.
- W2895931952 creator A5049028312 @default.
- W2895931952 date "2018-10-15" @default.
- W2895931952 modified "2023-09-29" @default.
- W2895931952 title "Compressed Randomized UTV Decompositions for Low-Rank Approximations and Big Data Applications." @default.
- W2895931952 cites W1529624360 @default.
- W2895931952 cites W1533105281 @default.
- W2895931952 cites W1640117875 @default.
- W2895931952 cites W1669104078 @default.
- W2895931952 cites W1760551737 @default.
- W2895931952 cites W1925032196 @default.
- W2895931952 cites W1939325961 @default.
- W2895931952 cites W1966440305 @default.
- W2895931952 cites W1969489987 @default.
- W2895931952 cites W1970576574 @default.
- W2895931952 cites W1980921095 @default.
- W2895931952 cites W1982811641 @default.
- W2895931952 cites W1996038080 @default.
- W2895931952 cites W1997337863 @default.
- W2895931952 cites W1997382463 @default.
- W2895931952 cites W1998058722 @default.
- W2895931952 cites W2004026774 @default.
- W2895931952 cites W2009702064 @default.
- W2895931952 cites W2010660042 @default.
- W2895931952 cites W2019013468 @default.
- W2895931952 cites W2019820852 @default.
- W2895931952 cites W2029369497 @default.
- W2895931952 cites W2035275496 @default.
- W2895931952 cites W2040387238 @default.
- W2895931952 cites W2042262246 @default.
- W2895931952 cites W2056145308 @default.
- W2895931952 cites W2064667796 @default.
- W2895931952 cites W2064980127 @default.
- W2895931952 cites W2070209186 @default.
- W2895931952 cites W2091741383 @default.
- W2895931952 cites W2096608935 @default.
- W2895931952 cites W2096863518 @default.
- W2895931952 cites W2100549954 @default.
- W2895931952 cites W2101043704 @default.
- W2895931952 cites W2104817886 @default.
- W2895931952 cites W2106527613 @default.
- W2895931952 cites W2111344967 @default.
- W2895931952 cites W2117756735 @default.
- W2895931952 cites W2119233169 @default.
- W2895931952 cites W2121689290 @default.
- W2895931952 cites W2122285898 @default.
- W2895931952 cites W2123921160 @default.
- W2895931952 cites W2127064423 @default.
- W2895931952 cites W2127562763 @default.
- W2895931952 cites W2129812935 @default.
- W2895931952 cites W2131081431 @default.
- W2895931952 cites W2140064412 @default.
- W2895931952 cites W2140161204 @default.
- W2895931952 cites W2140287083 @default.
- W2895931952 cites W2141244461 @default.
- W2895931952 cites W2142937021 @default.
- W2895931952 cites W2145962650 @default.
- W2895931952 cites W2147507815 @default.
- W2895931952 cites W2147650645 @default.
- W2895931952 cites W2148793852 @default.
- W2895931952 cites W2150489380 @default.
- W2895931952 cites W2152820192 @default.
- W2895931952 cites W2152836620 @default.
- W2895931952 cites W2160444861 @default.
- W2895931952 cites W2161194822 @default.
- W2895931952 cites W2162073854 @default.
- W2895931952 cites W2169169001 @default.
- W2895931952 cites W2171543556 @default.
- W2895931952 cites W2183811069 @default.
- W2895931952 cites W2305569075 @default.
- W2895931952 cites W2307681928 @default.
- W2895931952 cites W2339666411 @default.
- W2895931952 cites W2413693026 @default.
- W2895931952 cites W2522297021 @default.
- W2895931952 cites W2593082056 @default.
- W2895931952 cites W2776804321 @default.
- W2895931952 cites W2962944036 @default.
- W2895931952 cites W3097609957 @default.
- W2895931952 cites W3098943005 @default.
- W2895931952 cites W3099880660 @default.
- W2895931952 cites W3100283647 @default.
- W2895931952 cites W3104624268 @default.
- W2895931952 cites W3104682973 @default.
- W2895931952 cites W2129195182 @default.
- W2895931952 cites W2889106020 @default.
- W2895931952 hasPublicationYear "2018" @default.
- W2895931952 type Work @default.
- W2895931952 sameAs 2895931952 @default.
- W2895931952 citedByCount "0" @default.
- W2895931952 crossrefType "posted-content" @default.
- W2895931952 hasAuthorship W2895931952A5039334577 @default.
- W2895931952 hasAuthorship W2895931952A5049028312 @default.
- W2895931952 hasConcept C105795698 @default.
- W2895931952 hasConcept C106487976 @default.
- W2895931952 hasConcept C11413529 @default.
- W2895931952 hasConcept C114614502 @default.
- W2895931952 hasConcept C121332964 @default.
- W2895931952 hasConcept C126255220 @default.