{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T07:17:21Z","timestamp":1725520641978},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1109\/icip.2017.8296801","type":"proceedings-article","created":{"date-parts":[[2018,2,22]],"date-time":"2018-02-22T17:03:23Z","timestamp":1519319003000},"page":"2841-2845","source":"Crossref","is-referenced-by-count":0,"title":["Semi-supervised domain adaptation via convolutional neural network"],"prefix":"10.1109","author":[{"given":"Pengcheng","family":"Liu","sequence":"first","affiliation":[]},{"given":"Cheng","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Youji","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Xiaohu","family":"Shao","sequence":"additional","affiliation":[]},{"given":"Xiangdong","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.5244\/C.29.66"},{"key":"ref11","first-page":"4293","article-title":"Learning multidomain convolutional neural networks for visual tracking","author":"nam","year":"2016","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref12","first-page":"248","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","first-page":"647","article-title":"Decaf: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"International Conference on Machine Learning"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/CVPR.2014.222"},{"year":"2014","author":"razavian","journal-title":"CNN Features Off-the-shelf An Astounding Baseline for Recognition","key":"ref15"},{"key":"ref16","article-title":"One-shot adaptation of supervised deep convolutional models","author":"hoffman","year":"2013","journal-title":"CoRR vol abs\/1312 6204"},{"year":"2014","author":"tzeng","journal-title":"Deep domain confusion Maximizing for domain invariance","key":"ref17"},{"key":"ref18","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"ganin","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref19","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Annual Conference on Neural Information Processing Systems"},{"key":"ref4","first-page":"1187","article-title":"Domain adaptation via transfer component analysis","author":"pan","year":"2009","journal-title":"International Joint Conference on Artificial Intelligence"},{"key":"ref3","article-title":"Efficient learning of domain-invariant image representations","author":"hoffman","year":"2013","journal-title":"ICLRE"},{"key":"ref6","first-page":"1079","article-title":"Information-theoretical learning of discriminative clusters for unsupervised domain adaptation","author":"shi","year":"2012","journal-title":"International Conference on Machine Learning"},{"key":"ref5","first-page":"631","article-title":"Do-main adaptive dictionary learning","author":"qiu","year":"2012","journal-title":"European Conference on Artificial Intelligence"},{"key":"ref8","article-title":"Dlid: Deep learning for domain adaptation by interpolating between domains","author":"chopra","year":"2013","journal-title":"ICML Workshop on Representation Learning"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/ACPR.2015.7486497"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/ICCV.2013.100"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1007\/978-3-642-15561-1_16"},{"year":"2014","author":"ghifary","journal-title":"Domain adaptive neural networks for object recognition","key":"ref9"},{"key":"ref20","article-title":"Caltech-256 object category dataset","author":"griffin","year":"2007","journal-title":"Technical Report"},{"key":"ref22","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/ICCV.2013.368"}],"event":{"name":"2017 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2017,9,17]]},"location":"Beijing","end":{"date-parts":[[2017,9,20]]}},"container-title":["2017 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8267582\/8296222\/08296801.pdf?arnumber=8296801","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T17:14:17Z","timestamp":1523466857000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8296801\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icip.2017.8296801","relation":{},"subject":[],"published":{"date-parts":[[2017,9]]}}}