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CNN applications from the hardware point of view: video sequence segmentation.

, , , and . Int. J. Circuit Theory Appl., 30 (2-3): 117-137 (2002)

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CMOS Implementation of Associative Memory Using Cellular Neural Network Having Adjustable Template Coefficients., , and . ISCAS, page 487-490. IEEE, (1994)High density VLSI implementation of a bipolar CNN with reduced programmability., , , and . ISCAS (3), page 21-24. IEEE, (2004)A mixed-mode polynomial-type CNN for analysing brain electrical activity in epilepsy., , , and . Int. J. Circuit Theory Appl., 30 (2-3): 165-180 (2002)An 8times 8 Cell Analog Order-Statistic-Filter Array With Asynchronous Grayscale Morphology in 0.13-muhboxm CMOS., and . IEEE Trans. Circuits Syst. I Regul. Pap., 56-I (8): 1541-1553 (2009)On the Spatial Distribution of Local Non-parametric Facial Shape Descriptors., , and . SCIA, volume 5575 of Lecture Notes in Computer Science, page 351-358. Springer, (2009)Mixed-signal baseband processing chain for a MB-OFDM receiver., , , , , and . ICECS, page 470-473. IEEE, (2008)Local memory and logic arrangement for ultra-low power array processors.. ISCAS, page 1-4. IEEE, (2017)CNN shape segmentation advantages in MPEG-4 simple profile encoding., , and . ISSPA (2), page 117-120. IEEE, (2003)0-7803-7946-2.Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging., , , and . Int. J. Biomed. Imaging, (2014)Motion estimation computational complexity reduction with CNN shape segmentation., , and . IEEE Trans. Circuits Syst. Video Technol., 15 (6): 771-777 (2005)