Matches in SemOpenAlex for { <https://semopenalex.org/work/W2964053072> ?p ?o ?g. }
- W2964053072 abstract "We propose a surprisingly simple model to estimate supervised video backgrounds. Our model is based on L1 regression. As existing methods for L1 regression do not scale to high-resolution videos, we propose several simple, fast, and scalable methods including iteratively reweighted least squares, a homotopy method, and stochastic gradient descent to solve the problem. Our extensive implementations of the model and methods show that they match or outperform other state-of-the-art online and batch methods that are both supervised and unsupervised in virtually all quantitative and qualitative measures and in fractions of their execution time." @default.
- W2964053072 created "2019-07-30" @default.
- W2964053072 creator A5036598221 @default.
- W2964053072 creator A5074006719 @default.
- W2964053072 date "2019-01-01" @default.
- W2964053072 modified "2023-09-25" @default.
- W2964053072 title "Online and Batch Supervised Background Estimation Via L1 Regression" @default.
- W2964053072 cites W1736339626 @default.
- W2964053072 cites W1960877884 @default.
- W2964053072 cites W1967336819 @default.
- W2964053072 cites W1981856015 @default.
- W2964053072 cites W1988061476 @default.
- W2964053072 cites W1992381997 @default.
- W2964053072 cites W1997958347 @default.
- W2964053072 cites W199797433 @default.
- W2964053072 cites W1998925295 @default.
- W2964053072 cites W2001933992 @default.
- W2964053072 cites W2059639989 @default.
- W2964053072 cites W2062520372 @default.
- W2964053072 cites W2067681708 @default.
- W2964053072 cites W2069057506 @default.
- W2964053072 cites W2096309046 @default.
- W2964053072 cites W2096642693 @default.
- W2964053072 cites W2099238445 @default.
- W2964053072 cites W2101705628 @default.
- W2964053072 cites W2102188949 @default.
- W2964053072 cites W2102625004 @default.
- W2964053072 cites W2107861471 @default.
- W2964053072 cites W2110110767 @default.
- W2964053072 cites W2113642685 @default.
- W2964053072 cites W2119883478 @default.
- W2964053072 cites W2124541940 @default.
- W2964053072 cites W2131628350 @default.
- W2964053072 cites W2133665775 @default.
- W2964053072 cites W2150489380 @default.
- W2964053072 cites W2158445689 @default.
- W2964053072 cites W2158992413 @default.
- W2964053072 cites W2168903001 @default.
- W2964053072 cites W2169232245 @default.
- W2964053072 cites W2199322090 @default.
- W2964053072 cites W2233138502 @default.
- W2964053072 cites W2294874601 @default.
- W2964053072 cites W2547068985 @default.
- W2964053072 cites W2570149284 @default.
- W2964053072 cites W2617488912 @default.
- W2964053072 cites W2626610348 @default.
- W2964053072 cites W2730482097 @default.
- W2964053072 cites W2751852238 @default.
- W2964053072 cites W2767016902 @default.
- W2964053072 cites W2797689491 @default.
- W2964053072 cites W2887843685 @default.
- W2964053072 cites W2950350920 @default.
- W2964053072 cites W2963047559 @default.
- W2964053072 cites W2964256458 @default.
- W2964053072 cites W3105835503 @default.
- W2964053072 cites W3111652977 @default.
- W2964053072 cites W39179609 @default.
- W2964053072 cites W653074768 @default.
- W2964053072 doi "https://doi.org/10.1109/wacv.2019.00063" @default.
- W2964053072 hasPublicationYear "2019" @default.
- W2964053072 type Work @default.
- W2964053072 sameAs 2964053072 @default.
- W2964053072 citedByCount "5" @default.
- W2964053072 countsByYear W29640530722018 @default.
- W2964053072 countsByYear W29640530722019 @default.
- W2964053072 countsByYear W29640530722020 @default.
- W2964053072 crossrefType "proceedings-article" @default.
- W2964053072 hasAuthorship W2964053072A5036598221 @default.
- W2964053072 hasAuthorship W2964053072A5074006719 @default.
- W2964053072 hasBestOaLocation W29640530722 @default.
- W2964053072 hasConcept C105795698 @default.
- W2964053072 hasConcept C111472728 @default.
- W2964053072 hasConcept C119857082 @default.
- W2964053072 hasConcept C124101348 @default.
- W2964053072 hasConcept C136389625 @default.
- W2964053072 hasConcept C138885662 @default.
- W2964053072 hasConcept C152877465 @default.
- W2964053072 hasConcept C153180895 @default.
- W2964053072 hasConcept C154945302 @default.
- W2964053072 hasConcept C206688291 @default.
- W2964053072 hasConcept C2780586882 @default.
- W2964053072 hasConcept C33923547 @default.
- W2964053072 hasConcept C41008148 @default.
- W2964053072 hasConcept C48044578 @default.
- W2964053072 hasConcept C50644808 @default.
- W2964053072 hasConcept C77088390 @default.
- W2964053072 hasConcept C83546350 @default.
- W2964053072 hasConceptScore W2964053072C105795698 @default.
- W2964053072 hasConceptScore W2964053072C111472728 @default.
- W2964053072 hasConceptScore W2964053072C119857082 @default.
- W2964053072 hasConceptScore W2964053072C124101348 @default.
- W2964053072 hasConceptScore W2964053072C136389625 @default.
- W2964053072 hasConceptScore W2964053072C138885662 @default.
- W2964053072 hasConceptScore W2964053072C152877465 @default.
- W2964053072 hasConceptScore W2964053072C153180895 @default.
- W2964053072 hasConceptScore W2964053072C154945302 @default.
- W2964053072 hasConceptScore W2964053072C206688291 @default.
- W2964053072 hasConceptScore W2964053072C2780586882 @default.
- W2964053072 hasConceptScore W2964053072C33923547 @default.
- W2964053072 hasConceptScore W2964053072C41008148 @default.