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A Pixel-Parallel Virtual-Image Architecture for High Perfor..:

, In: Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays,

Gao, Tianqi ; Rutenbar, Rob A. - p. 120 ff. , 2019

Link: https://dl.acm.org/doi/10.1145/3289602.3293948

RT 
T1 <cTitle>Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays</cTitle>: T1 <Title>A Pixel-Parallel Virtual-Image Architecture for High Performance and Power Efficient Graph Cuts Inference</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3293948&Exemplar=1&LAN=DE
				
A1 Gao, Tianqi
A1 Rutenbar, Rob A.
PB ACM
YR 2019
K1 computer vision
K1 fpga
K1 hardware acceleration
K1 machine learning
K1 Mathematics of computing
K1 Probability and statistics
K1 Probabilistic representations
K1 Markov networks
K1 Hardware
K1 Integrated circuits
K1 Reconfigurable logic and FPGAs
K1 Hardware accelerators
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Image segmentation
K1 Machine learning
K1 Machine learning approaches
K1 Learning in probabilistic graphical models
K1 Maximum a posteriori modeling
SP 120 ff.
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3289602.3293948
DO https://dl.acm.org/doi/10.1145/3289602.3293948
SF ELIB - SuUB Bremen

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