Matches in SemOpenAlex for { <https://semopenalex.org/work/W2906592685> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2906592685 endingPage "4734" @default.
- W2906592685 startingPage "4726" @default.
- W2906592685 abstract "This paper aims to exploit approximate computing units in image processing systems and artificial neural networks. For this purpose, a general design methodology is introduced, and approximation-oriented architectures are developed for different applications. This paper proposes a method to compromise power/area efficiency of circuit-level design with accuracy supervision of system-level design. The proposed method selects approximate computational units that minimize the total computation cost, yet maintaining the ultimate performance. This is accomplished by formulating a linear programming problem, which can be solved by conventional linear programming solvers. Approximate computing units, such as multipliers, neurons, and convolution kernels, which are proposed by this paper, are suitable for power/area reduction through accuracy scaling. The formulation is demonstrated on applications in image processing, digital filters, and artificial neural networks. This way, the proposed technique and architectures are tested with different approximate computing units, as well as system-level requirement metrics, such as PSNR and classification performance." @default.
- W2906592685 created "2019-01-01" @default.
- W2906592685 creator A5010145600 @default.
- W2906592685 creator A5012848022 @default.
- W2906592685 date "2019-01-01" @default.
- W2906592685 modified "2023-09-24" @default.
- W2906592685 title "Circuit Aware Approximate System Design With Case Studies in Image Processing and Neural Networks" @default.
- W2906592685 cites W1937235839 @default.
- W2906592685 cites W1984020445 @default.
- W2906592685 cites W1996431812 @default.
- W2906592685 cites W2026005150 @default.
- W2906592685 cites W2034581485 @default.
- W2906592685 cites W2057434193 @default.
- W2906592685 cites W2106062385 @default.
- W2906592685 cites W2112796928 @default.
- W2906592685 cites W2157020287 @default.
- W2906592685 cites W2230531192 @default.
- W2906592685 cites W2295386853 @default.
- W2906592685 cites W2612139336 @default.
- W2906592685 cites W2736464679 @default.
- W2906592685 cites W2770267376 @default.
- W2906592685 cites W2783681199 @default.
- W2906592685 cites W2791081945 @default.
- W2906592685 cites W2793544536 @default.
- W2906592685 cites W2793849663 @default.
- W2906592685 cites W3141620748 @default.
- W2906592685 cites W4235991875 @default.
- W2906592685 cites W4240331638 @default.
- W2906592685 doi "https://doi.org/10.1109/access.2018.2889110" @default.
- W2906592685 hasPublicationYear "2019" @default.
- W2906592685 type Work @default.
- W2906592685 sameAs 2906592685 @default.
- W2906592685 citedByCount "4" @default.
- W2906592685 countsByYear W29065926852020 @default.
- W2906592685 countsByYear W29065926852021 @default.
- W2906592685 countsByYear W29065926852022 @default.
- W2906592685 crossrefType "journal-article" @default.
- W2906592685 hasAuthorship W2906592685A5010145600 @default.
- W2906592685 hasAuthorship W2906592685A5012848022 @default.
- W2906592685 hasBestOaLocation W29065926851 @default.
- W2906592685 hasConcept C113775141 @default.
- W2906592685 hasConcept C11413529 @default.
- W2906592685 hasConcept C115961682 @default.
- W2906592685 hasConcept C154945302 @default.
- W2906592685 hasConcept C41008148 @default.
- W2906592685 hasConcept C45347329 @default.
- W2906592685 hasConcept C45374587 @default.
- W2906592685 hasConcept C50644808 @default.
- W2906592685 hasConcept C9417928 @default.
- W2906592685 hasConceptScore W2906592685C113775141 @default.
- W2906592685 hasConceptScore W2906592685C11413529 @default.
- W2906592685 hasConceptScore W2906592685C115961682 @default.
- W2906592685 hasConceptScore W2906592685C154945302 @default.
- W2906592685 hasConceptScore W2906592685C41008148 @default.
- W2906592685 hasConceptScore W2906592685C45347329 @default.
- W2906592685 hasConceptScore W2906592685C45374587 @default.
- W2906592685 hasConceptScore W2906592685C50644808 @default.
- W2906592685 hasConceptScore W2906592685C9417928 @default.
- W2906592685 hasFunder F4320322626 @default.
- W2906592685 hasFunder F4320338337 @default.
- W2906592685 hasLocation W29065926851 @default.
- W2906592685 hasLocation W29065926852 @default.
- W2906592685 hasOpenAccess W2906592685 @default.
- W2906592685 hasPrimaryLocation W29065926851 @default.
- W2906592685 hasRelatedWork W2015387950 @default.
- W2906592685 hasRelatedWork W2121958647 @default.
- W2906592685 hasRelatedWork W2352648941 @default.
- W2906592685 hasRelatedWork W2388892594 @default.
- W2906592685 hasRelatedWork W2757806308 @default.
- W2906592685 hasRelatedWork W2796942851 @default.
- W2906592685 hasRelatedWork W2950248853 @default.
- W2906592685 hasRelatedWork W3131807303 @default.
- W2906592685 hasRelatedWork W3149224530 @default.
- W2906592685 hasRelatedWork W4292632107 @default.
- W2906592685 hasVolume "7" @default.
- W2906592685 isParatext "false" @default.
- W2906592685 isRetracted "false" @default.
- W2906592685 magId "2906592685" @default.
- W2906592685 workType "article" @default.