{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:14:51Z","timestamp":1761581691153,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,7,17]],"date-time":"2017-07-17T00:00:00Z","timestamp":1500249600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,7,17]]},"DOI":"10.1145\/3183584.3183611","type":"proceedings-article","created":{"date-parts":[[2018,4,25]],"date-time":"2018-04-25T12:58:50Z","timestamp":1524661130000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Efficient hardware implementation of cellular neural networks with powers-of-two based incremental quantization"],"prefix":"10.1145","author":[{"given":"Xiaowei","family":"Xu","sequence":"first","affiliation":[{"name":"University of Notre Dame and Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Lu","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianchen","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinglan","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Hu","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyu","family":"Shi","sequence":"additional","affiliation":[{"name":"University of Notre Dame"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,7,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10470-013-0192-x"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2005.08.067"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511754494","volume-title":"Cellular neural networks and visual computing: foundations and applications","author":"Chua L. O.","year":"2002","unstructured":"L. O. Chua and T. Roska . Cellular neural networks and visual computing: foundations and applications . Cambridge university press , 2002 . L. O. Chua and T. Roska. Cellular neural networks and visual computing: foundations and applications. Cambridge university press, 2002."},{"key":"e_1_3_2_1_4_1","volume-title":"Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1. arXiv preprint arXiv:1602.02830","author":"Courbariaux M.","year":"2016","unstructured":"M. Courbariaux , I. Hubara , D. Soudry , R. El-Yaniv , and Y. Bengio . Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1. arXiv preprint arXiv:1602.02830 , 2016 . M. Courbariaux, I. Hubara, D. Soudry, R. El-Yaniv, and Y. Bengio. Binarized neural networks: Training deep neural networks with weights and activations constrained to+ 1 or-1. arXiv preprint arXiv:1602.02830, 2016."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICGCCEE.2014.6922413"},{"key":"e_1_3_2_1_6_1","volume-title":"Edge detection in satellite image using cellular neural network. system, 8:9","author":"Gazi O. B.","year":"2014","unstructured":"O. B. Gazi , M. Belal , and H. Abdel-Galil . Edge detection in satellite image using cellular neural network. system, 8:9 , 2014 . O. B. Gazi, M. Belal, and H. Abdel-Galil. Edge detection in satellite image using cellular neural network. system, 8:9, 2014."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/cta.4490200503"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.1994.409215"},{"key":"e_1_3_2_1_9_1","first-page":"3","article-title":"Cellular neural network-based thermal modelling for real-time robotic path planning","volume":"20","author":"Hills J.","year":"2014","unstructured":"J. Hills and Y. Zhong . Cellular neural network-based thermal modelling for real-time robotic path planning . International Journal of Agile Systems and Management 20 , 7( 3 -- 4 ):261--281, 2014 . J. Hills and Y. Zhong. Cellular neural network-based thermal modelling for real-time robotic path planning. International Journal of Agile Systems and Management 20, 7(3--4):261--281, 2014.","journal-title":"International Journal of Agile Systems and Management"},{"volume-title":"http:\/\/www.hlevkin.com\/06testimages.htm","year":"2017","key":"e_1_3_2_1_10_1","unstructured":"Hlevkin. http:\/\/www.hlevkin.com\/06testimages.htm , 2017 . Hlevkin. http:\/\/www.hlevkin.com\/06testimages.htm, 2017."},{"key":"e_1_3_2_1_11_1","first-page":"4107","volume-title":"Advances in Neural Information Processing Systems","author":"Hubara I.","year":"2016","unstructured":"I. Hubara , M. Courbariaux , D. Soudry , R. El-Yaniv , and Y. Bengio . Binarized neural networks . In Advances in Neural Information Processing Systems , pages 4107 -- 4115 , 2016 . I. Hubara, M. Courbariaux, D. Soudry, R. El-Yaniv, and Y. Bengio. Binarized neural networks. In Advances in Neural Information Processing Systems, pages 4107--4115, 2016."},{"key":"e_1_3_2_1_12_1","volume-title":"Cellular Sensory and Wave Computing Laboratory of the Computer and Automation Research Institute","author":"Karacs K.","year":"2010","unstructured":"K. Karacs , G. Cserey , Zarndy, P. Szolgay , C. Rekeczky , L. Kek , V. Szab , G. Pazienza , and T. Roska . Software library for cellular wave computing engines . Cellular Sensory and Wave Computing Laboratory of the Computer and Automation Research Institute , 2010 . K. Karacs, G. Cserey, Zarndy, P. Szolgay, C. Rekeczky, L. Kek, V. Szab, G. Pazienza, and T. Roska. Software library for cellular wave computing engines. Cellular Sensory and Wave Computing Laboratory of the Computer and Automation Research Institute, 2010."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2085443"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2010.12.017"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/MM.2015.121"},{"key":"e_1_3_2_1_16_1","volume-title":"Cellular neural networks: chaos, complexity and VLSI processing","author":"Manganaro G.","year":"2012","unstructured":"G. Manganaro , P. Arena , and L. Fortuna . Cellular neural networks: chaos, complexity and VLSI processing , volume 1 . Springer Science & Business Media , 2012 . G. Manganaro, P. Arena, and L. Fortuna. Cellular neural networks: chaos, complexity and VLSI processing, volume 1. Springer Science & Business Media, 2012."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.09.029"},{"key":"e_1_3_2_1_18_1","article-title":"An improved cellular nonlinear network architecture for binary and greyscale image processing","author":"Muller J.","year":"2016","unstructured":"J. Muller , R. Wittig , J. Muller , and R. Tetzlaff . An improved cellular nonlinear network architecture for binary and greyscale image processing . IEEE Transactions on Circuits and Systems II: Express Briefs , 2016 . J. Muller, R. Wittig, J. Muller, and R. Tetzlaff. An improved cellular nonlinear network architecture for binary and greyscale image processing. IEEE Transactions on Circuits and Systems II: Express Briefs, 2016.","journal-title":"IEEE Transactions on Circuits and Systems II: Express Briefs"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2006.02.016"},{"key":"e_1_3_2_1_20_1","first-page":"1","volume-title":"Nonlinear Dynamics and Synchronization (INDS) & 16th Int'l Symposium on Theoretical Electrical Engineering (ISTET)","author":"Potluri S.","year":"2011","unstructured":"S. Potluri , A. Fasih , L. K. Vutukuru , F. Al Machot , and K. Kyamakya . Cnn based high performance computing for real time image processing on gpu . In Nonlinear Dynamics and Synchronization (INDS) & 16th Int'l Symposium on Theoretical Electrical Engineering (ISTET) , 2011 Joint 3rd Int'l Workshop on, pages 1 -- 7 . IEEE , 2011. S. Potluri, A. Fasih, L. K. Vutukuru, F. Al Machot, and K. Kyamakya. Cnn based high performance computing for real time image processing on gpu. In Nonlinear Dynamics and Synchronization (INDS) & 16th Int'l Symposium on Theoretical Electrical Engineering (ISTET), 2011 Joint 3rd Int'l Workshop on, pages 1--7. IEEE, 2011."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2004.827621"},{"key":"e_1_3_2_1_23_1","volume-title":"4th International Conference on Learning Representations","author":"Song H.","year":"2016","unstructured":"H. Song , P. Jeff , T. John , and W. J. Dally . Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding . In 4th International Conference on Learning Representations , 2016 . H. Song, P. Jeff, T. John, and W. J. Dally. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding. In 4th International Conference on Learning Representations, 2016."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.1997.0646"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1950413.1950419"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.521"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSI.2014.2345502"},{"key":"e_1_3_2_1_28_1","volume-title":"CNNA 2016","author":"Yildiz N.","year":"2016","unstructured":"N. Yildiz , E. Cesur , and V. Tavsanoglu . On the way to a third generation real-time cellular neural network processor . CNNA 2016 , 2016 . N. Yildiz, E. Cesur, and V. Tavsanoglu. On the way to a third generation real-time cellular neural network processor. CNNA 2016, 2016."},{"key":"e_1_3_2_1_29_1","volume-title":"5th International Conference on Learning Representations","author":"Zhou A.","year":"2017","unstructured":"A. Zhou , A. Yao , Y. Guo , L. Xu , and Y. Chen . Incremental network quantization: Towards lossless cnns with low-precision weights . In 5th International Conference on Learning Representations , 2017 . A. Zhou, A. Yao, Y. Guo, L. Xu, and Y. Chen. Incremental network quantization: Towards lossless cnns with low-precision weights. In 5th International Conference on Learning Representations, 2017."}],"event":{"name":"NCS '17: Neuromorphic Computing Symposium","acronym":"NCS '17","location":"Knoxville Tennessee"},"container-title":["Proceedings of the Neuromorphic Computing Symposium"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3183584.3183611","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3183584.3183611","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:08:12Z","timestamp":1750208892000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3183584.3183611"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,17]]},"references-count":29,"alternative-id":["10.1145\/3183584.3183611","10.1145\/3183584"],"URL":"https:\/\/doi.org\/10.1145\/3183584.3183611","relation":{},"subject":[],"published":{"date-parts":[[2017,7,17]]},"assertion":[{"value":"2017-07-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}