{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T08:10:56Z","timestamp":1730275856751,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1109\/ispacs.2017.8266572","type":"proceedings-article","created":{"date-parts":[[2018,1,22]],"date-time":"2018-01-22T22:41:21Z","timestamp":1516660881000},"page":"729-734","source":"Crossref","is-referenced-by-count":0,"title":["Neuroscience-inspired recurrent network for object recognition"],"prefix":"10.1109","author":[{"given":"Jia-Ren","family":"Chang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Po-Chih","family":"Kuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong-Sheng","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Identity mappings in deep residual networks","year":"2016","author":"he","key":"ref10"},{"journal-title":"Highway networks","year":"2015","author":"srivastava","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift","year":"2015","author":"ioffe","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref15","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref16"},{"journal-title":"Network in Network","year":"2013","author":"lin","key":"ref17"},{"journal-title":"Deeply-supervised nets","year":"2014","author":"lee","key":"ref18"},{"journal-title":"Batch-normalized Maxout Network in Network","year":"2015","author":"chang","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.2347-15.2016"},{"key":"ref6","first-page":"545","article-title":"Offline handwriting recognition with multidimensional recurrent neural networks","author":"graves","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/4.3.300"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298958"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.1998.685873"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2014.08.026"},{"journal-title":"Deep residual learning for image recognition","year":"2015","author":"he","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2012.01.010"},{"key":"ref20","first-page":"4","article-title":"Reading digits in natural images with unsupervised feature learning","volume":"2011","author":"netzer","year":"2011","journal-title":"NIPS Workshop on Deep Learning and Unsupervised Feature Learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref21","article-title":"Generalizing pooling functions in convolutional neural networks: Mixed, gated, and tree","author":"lee","year":"2016","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298640"},{"journal-title":"Inception-v4 inception-resnet and the impact of residual connections on learning","year":"2016","author":"szegedy","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/nn866"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3758\/s13414-013-0605-z"}],"event":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","start":{"date-parts":[[2017,11,6]]},"location":"Xiamen, China","end":{"date-parts":[[2017,11,9]]}},"container-title":["2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8259049\/8265629\/08266572.pdf?arnumber=8266572","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,2,28]],"date-time":"2018-02-28T21:28:52Z","timestamp":1519853332000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8266572\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,11]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ispacs.2017.8266572","relation":{},"subject":[],"published":{"date-parts":[[2017,11]]}}}