{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T09:34:37Z","timestamp":1774690477126,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T00:00:00Z","timestamp":1578528000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T00:00:00Z","timestamp":1578528000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61550110248"],"award-info":[{"award-number":["61550110248"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s11063-019-10179-6","type":"journal-article","created":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T11:03:03Z","timestamp":1578567783000},"page":"1891-1905","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Memristor Crossbar Array Based ACO For Image Edge Detection"],"prefix":"10.1007","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6022-7504","authenticated-orcid":false,"given":"Yongbin","family":"Yu","sequence":"first","affiliation":[]},{"given":"Quanxin","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Liyong","family":"Ren","sequence":"additional","affiliation":[]},{"given":"Nyima","family":"Tashi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,9]]},"reference":[{"key":"10179_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85152-3","volume-title":"Bio-inspired algorithms for the vehicle routing problem","author":"F Pereira","year":"2009","unstructured":"Pereira F, Tavares J (2009) Bio-inspired algorithms for the vehicle routing problem. Springer, Berlin"},{"issue":"5","key":"10179_CR2","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1109\/TIA.2008.2002171","volume":"44","author":"TK Das","year":"2008","unstructured":"Das TK, Venayagamoorthy GK, Aliyu UO (2008) Bio-inspired algorithms for the design of multiple optimal power system stabilizers: SPPSO and BFA. IEEE Trans Ind Appl 44(5):1445\u20131457","journal-title":"IEEE Trans Ind Appl"},{"key":"10179_CR3","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.tcs.2005.05.020","volume":"344","author":"M Dorigo","year":"2005","unstructured":"Dorigo M, Blum C (2005) Ant colony optimization theory: a survey. Theor Comput Sci 344:243\u2013278","journal-title":"Theor Comput Sci"},{"key":"10179_CR4","doi-asserted-by":"publisher","unstructured":"Tian J, Yu W, Xie S (2008) An ant colony optimization algorithm for image edge detection. In: 2008 IEEE congress on evolutionary computation (IEEE world congress on computational intelligence), Hong Kong, pp 751\u2013756. https:\/\/doi.org\/10.1109\/CEC.2008.4630880","DOI":"10.1109\/CEC.2008.4630880"},{"key":"10179_CR5","first-page":"58","volume":"6","author":"A Baterina","year":"2010","unstructured":"Baterina A, Oppus C (2010) Image edge detection using ant colony optimization. WSEAS Trans Signal Process 6:58\u201367","journal-title":"WSEAS Trans Signal Process"},{"key":"10179_CR6","first-page":"27","volume":"5","author":"J Tian","year":"2011","unstructured":"Tian J, Weiyu Y, Chen L, Ma L (2011) Image edge detection using variation-adaptive ant colony optimization. Trans Comput Collective Intell 5:27\u201340","journal-title":"Trans Comput Collective Intell"},{"issue":"5","key":"10179_CR7","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1109\/TCT.1971.1083337","volume":"18","author":"L Chua","year":"1971","unstructured":"Chua L (1971) Memristor-the missing circuit element. IEEE Trans Circuit Theory 18(5):507\u2013519","journal-title":"IEEE Trans Circuit Theory"},{"issue":"6","key":"10179_CR8","doi-asserted-by":"publisher","first-page":"1920","DOI":"10.1109\/JPROC.2012.2190814","volume":"100","author":"LO Chua","year":"2012","unstructured":"Chua LO (2012) The fourth element. Proceedings IEEE 100(6):1920\u20131927","journal-title":"Proceedings IEEE"},{"issue":"5","key":"10179_CR9","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1038\/s41928-018-0074-4","volume":"1","author":"LO Chua","year":"2018","unstructured":"Chua LO (2018) How we predicted the memristor. Nat Electron 1(5):322\u2013322","journal-title":"Nat Electron"},{"issue":"1","key":"10179_CR10","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1038\/s41928-017-0006-8","volume":"1","author":"MA Zidan","year":"2018","unstructured":"Zidan MA, Strachan JP, Lu WD (2018) The future of electronics based on memristive systems. Nat Electron 1(1):22\u201329","journal-title":"Nat Electron"},{"key":"10179_CR11","doi-asserted-by":"publisher","first-page":"1702770","DOI":"10.1002\/adma.201702770","volume":"30","author":"J Lee","year":"2017","unstructured":"Lee J, Wei L (2017) On-demand reconfiguration of nanomaterials: when electronics meets ionics. Adv Mater 30:1702770","journal-title":"Adv Mater"},{"key":"10179_CR12","doi-asserted-by":"publisher","first-page":"053106","DOI":"10.1063\/1.3294625","volume":"96","author":"K-H Kim","year":"2010","unstructured":"Kim K-H, Jo S, Gaba S, Wei L (2010) Nanoscale resistive memory with intrinsic diode characteristics and long endurance. Appl Phys Lett 96:053106\u2013053106","journal-title":"Appl Phys Lett"},{"key":"10179_CR13","doi-asserted-by":"crossref","unstructured":"Govoreanu B, Kar G, Chen YY, Paraschiv V, Kubicek S, Fantini A, Radu I, Goux L, Clima S, Degraeve R, Jossart N, Richard O (2011) $$10\\times 10~\\text{nm}^{2}$$ hf\/hfox crossbar resistive ram with excellent performance, reliability and low-energy operation. In: 2011 IEEE international electron devices meeting (IEDM)","DOI":"10.1109\/IEDM.2011.6131652"},{"key":"10179_CR14","doi-asserted-by":"publisher","first-page":"485203","DOI":"10.1088\/0957-4484\/22\/48\/485203","volume":"22","author":"A Torrezan","year":"2011","unstructured":"Torrezan A, Strachan JW, Medeiros-Ribeiro G, Williams S (2011) Sub-nanosecond switching of a tantalum oxide memristor. Nanotechnology 22:485203","journal-title":"Nanotechnology"},{"issue":"29","key":"10179_CR15","doi-asserted-by":"publisher","first-page":"5290","DOI":"10.1002\/adfm.201600680","volume":"26","author":"BJ Choi","year":"2016","unstructured":"Choi BJ, Torrezan A, Strachan JW, Kotula P, Lohn A, Marinella M, Li Z, Williams S, Yang JJ (2016) High-speed and low-energy nitride memristors. Adv Funct Mater 26(29):5290\u20135296","journal-title":"Adv Funct Mater"},{"key":"10179_CR16","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1038\/nnano.2012.240","volume":"8","author":"JJ Yang","year":"2013","unstructured":"Yang JJ, Strukov D, Stewart D (2013) Memristive devices for computing. Nat Nanotechnol 8:13\u201324","journal-title":"Nat Nanotechnol"},{"key":"10179_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LED.2016.2623906","volume":"37","author":"J Zhou","year":"2016","unstructured":"Zhou J, Cai F, Wang Q, Chen B, Gaba S, Wei L (2016) Very low programming-current RRAM with self-rectifying characteristics. IEEE Electron Device Lett 37:1\u20131","journal-title":"IEEE Electron Device Lett"},{"key":"10179_CR18","doi-asserted-by":"publisher","first-page":"2909","DOI":"10.1021\/nl1017157","volume":"10","author":"Q Xia","year":"2010","unstructured":"Xia Q, Yang JJ, Wei W, Li X, Williams S (2010) Self-aligned memristor cross-point arrays fabricated with one nanoimprint lithography step. Nano Lett 10:2909\u201314","journal-title":"Nano Lett"},{"issue":"1","key":"10179_CR19","doi-asserted-by":"publisher","first-page":"18863","DOI":"10.1038\/srep18863","volume":"6","author":"MA Zidan","year":"2016","unstructured":"Zidan MA, Omran H, Naous R, Sultan A, Fahmy HAH, Lu WD, Salama KN (2016) Single-readout high-density memristor crossbar. Sci Rep 6(1):18863","journal-title":"Sci Rep"},{"key":"10179_CR20","doi-asserted-by":"publisher","unstructured":"Milo V et al (2016) Demonstration of hybrid CMOS\/RRAM neural networks with spike time\/rate-dependent plasticity. In: 2016 IEEE international electron devices meeting (IEDM), San Francisco, CA, pp 16.8.1\u201316.8.4. https:\/\/doi.org\/10.1109\/IEDM.2016.7838435","DOI":"10.1109\/IEDM.2016.7838435"},{"issue":"1","key":"10179_CR21","doi-asserted-by":"publisher","first-page":"2072","DOI":"10.1038\/ncomms3072","volume":"4","author":"F Alibart","year":"2013","unstructured":"Alibart F, Zamanidoost E, Strukov DB (2013) Pattern classification by memristive crossbar circuits using ex situ and in situ training. Nat Commun 4(1):2072","journal-title":"Nat Commun"},{"key":"10179_CR22","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1038\/nature14441","volume":"521","author":"M Prezioso","year":"2014","unstructured":"Prezioso M, Merrikh-Bayat F, Hoskins B, Adam G, Likharev K, Strukov D (2014) Training and operation of an integrated neuromorphic network based on metal-oxide memristors. Nature 521:61","journal-title":"Nature"},{"key":"10179_CR23","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1038\/nnano.2017.83","volume":"12","author":"P Sheridan","year":"2017","unstructured":"Sheridan P, Cai F, Chao D, Ma W, Zhang Z, Wei L (2017) Sparse coding with memristor networks. Nat Nanotechnol 12:784","journal-title":"Nat Nanotechnol"},{"key":"10179_CR24","doi-asserted-by":"publisher","first-page":"3113","DOI":"10.1021\/acs.nanolett.7b00552","volume":"17","author":"S Choi","year":"2017","unstructured":"Choi S, Shin J, Lee J, Sheridan P, Wei L (2017) Experimental demonstration of feature extraction and dimensionality reduction using memristor networks. Nano Lett 17:3113\u20133118","journal-title":"Nano Lett"},{"key":"10179_CR25","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s11063-016-9497-y","volume":"44","author":"Y Pershin","year":"2016","unstructured":"Pershin Y, Di Ventra M (2016) Memcomputing implementation of ant colony optimization. Neural Process Lett 44:265\u2013277","journal-title":"Neural Process Lett"},{"issue":"9","key":"10179_CR26","doi-asserted-by":"publisher","first-page":"1774","DOI":"10.1109\/TCAD.2017.2775227","volume":"37","author":"Z Pajouhi","year":"2018","unstructured":"Pajouhi Z, Roy K (2018) Image edge detection based on swarm intelligence using memristive networks. IEEE Trans Comput Aided Des Integr Circuits Syst 37(9):1774\u20131787 09","journal-title":"IEEE Trans Comput Aided Des Integr Circuits Syst"},{"key":"10179_CR27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2932058","author":"J Yu","year":"2019","unstructured":"Yu J, Tan M, Zhang H, Tao D, Rui Y (2019) Hierarchical deep click feature prediction for fine-grained image recognition. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2019.2932058","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"10179_CR28","doi-asserted-by":"publisher","first-page":"1422","DOI":"10.1109\/TPAMI.2007.1153","volume":"29","author":"D Keysers","year":"2007","unstructured":"Keysers D, Deselaers T, Gollan C, Ney H (2007) Deformation models for image recognition. IEEE Trans Pattern Anal Mach Intell 29(8):1422\u20131435 08","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10179_CR29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2908982","author":"J Yu","year":"2019","unstructured":"Yu J, Zhu C, Zhang J, Huang Q, Tao D (2019) Spatial pyramid-enhanced NetVLAD with weighted triplet loss for place recognition. IEEE Trans Neural Netw Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2019.2908982","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10179_CR30","doi-asserted-by":"crossref","unstructured":"Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: unified, real-time object detection. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR), pp 779\u2013788","DOI":"10.1109\/CVPR.2016.91"},{"key":"10179_CR31","doi-asserted-by":"publisher","unstructured":"Liu W et al (2016) SSD: single shot multiBox detector. In: Leibe B, Matas J, Sebe N, Welling M (eds) Computer vision - ECCV 2016. ECCV 2016. Lecture notes in computer science, vol 9905. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"10179_CR32","unstructured":"Hong C, Yu J (2017) Multi-modal face pose estimation with multi-task manifold deep learning. arXiv:abs\/1712.06467"},{"issue":"12","key":"10179_CR33","doi-asserted-by":"publisher","first-page":"5659","DOI":"10.1109\/TIP.2015.2487860","volume":"24","author":"C Hong","year":"2015","unstructured":"Hong C, Yu J, Wan J, Tao D, Wang M (2015) Multimodal deep autoencoder for human pose recovery. IEEE Trans Image Process 24(12):5659\u20135670","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"10179_CR34","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1109\/TIFS.2016.2636090","volume":"12","author":"J Yu","year":"2017","unstructured":"Yu J, Zhang B, Kuang Z, Lin D, Fan J (2017) iprivacy: image privacy protection by identifying sensitive objects via deep multi-task learning. IEEE Trans Inf Forensics Secur 12(5):1005\u20131016 05","journal-title":"IEEE Trans Inf Forensics Secur"},{"issue":"4","key":"10179_CR35","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1109\/TCYB.2014.2336697","volume":"45","author":"J Yu","year":"2015","unstructured":"Yu J, Tao D, Wang M, Rui Y (2015) Learning to rank using user clicks and visual features for image retrieval. IEEE Trans Cybern 45(4):767\u2013779","journal-title":"IEEE Trans Cybern"},{"key":"10179_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIP.2017.2787262","volume":"27","author":"J Zhang","year":"2018","unstructured":"Zhang J, Jun Y, Tao D (2018) Local deep-feature alignment for unsupervised dimension reduction. IEEE Trans Image Process 27:1","journal-title":"IEEE Trans Image Process"},{"key":"10179_CR37","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1016\/S0031-3203(00)00023-6","volume":"34","author":"L Ding","year":"2000","unstructured":"Ding L, Goshtasby A (2000) On the canny edge detector. Pattern Recognit 34:721\u2013725","journal-title":"Pattern Recognit"},{"key":"10179_CR38","first-page":"67","volume":"5","author":"W Gao","year":"2010","unstructured":"Gao W, Zhang X, Yang L, Liu H (2010) An improved sobel edge detection 5:67\u201371","journal-title":"An improved sobel edge detection"},{"issue":"1","key":"10179_CR39","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s11263-017-1004-z","volume":"125","author":"S Xie","year":"2017","unstructured":"Xie S, Tu Z (2017) Holistically-nested edge detection. Int J Comput Vis 125(1):3\u201318","journal-title":"Int J Comput Vis"},{"key":"10179_CR40","first-page":"33","volume":"44","author":"S Pande","year":"2012","unstructured":"Pande S, Bhadouria V, Ghoshal D (2012) A study on edge marking scheme of various standard edge detectors. Int J Comput Appl 44:33\u201337","journal-title":"Int J Comput Appl"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-019-10179-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-019-10179-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-019-10179-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,8]],"date-time":"2021-01-08T02:00:06Z","timestamp":1610071206000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-019-10179-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,9]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["10179"],"URL":"https:\/\/doi.org\/10.1007\/s11063-019-10179-6","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,9]]},"assertion":[{"value":"9 January 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}