{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T09:47:11Z","timestamp":1767260831731},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T00:00:00Z","timestamp":1573689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T00:00:00Z","timestamp":1573689600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s11063-019-10152-3","type":"journal-article","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T20:01:38Z","timestamp":1573761698000},"page":"1411-1443","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Joint Robust Transfer Metric and Adaptive Transfer Function Learning"],"prefix":"10.1007","volume":"51","author":[{"given":"Samaneh","family":"Azarbarzin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatemeh","family":"Afsari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,14]]},"reference":[{"key":"10152_CR1","unstructured":"Yang X, Wang M, Zhang L, Tao D (2016) Empirical risk minimization for metric learning using privileged information. In: IJCAI, pp 2266\u20132272"},{"issue":"5","key":"10152_CR2","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1016\/j.patcog.2005.12.004","volume":"39","author":"D-Y Yeung","year":"2006","unstructured":"Yeung D-Y, Chang H (2006) Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognit 39(5):1007\u20131010","journal-title":"Pattern Recognit"},{"issue":"2","key":"10152_CR3","first-page":"4","volume":"2","author":"L Yang","year":"2006","unstructured":"Yang L, Jin R (2006) Distance metric learning: a comprehensive survey. Mich State Univ 2(2):4","journal-title":"Mich State Univ"},{"key":"10152_CR4","unstructured":"Wang S, Jin R (2009) An information geometry approach for distance metric learning. In: Artificial intelligence and statistics, pp 591\u2013598"},{"key":"10152_CR5","doi-asserted-by":"crossref","unstructured":"Wang H, Wang W, Zhang C, Xu F (2014) Cross-domain metric learning based on information theory. In: AAAI, pp 2099\u20132105","DOI":"10.1609\/aaai.v28i1.8982"},{"issue":"10","key":"10152_CR6","doi-asserted-by":"publisher","first-page":"2980","DOI":"10.1109\/TIP.2011.2134107","volume":"20","author":"B Geng","year":"2011","unstructured":"Geng B, Tao D, Xu C (2011) DAML: domain adaptation metric learning. IEEE Trans Image Process 20(10):2980\u20132989","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"10152_CR7","first-page":"54","volume":"3","author":"Y Zhang","year":"2012","unstructured":"Zhang Y, Yeung D-Y (2012) Transfer metric learning with semi-supervised extension. ACM Trans Intell Syst Technol 3(3):54","journal-title":"ACM Trans Intell Syst Technol"},{"key":"10152_CR8","doi-asserted-by":"crossref","unstructured":"Ben-David S, Blitzer J, Crammer K, Pereira F (2007) Analysis of representations for domain adaptation. In: Advances in neural information processing systems, pp 137\u2013144","DOI":"10.7551\/mitpress\/7503.003.0022"},{"key":"10152_CR9","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1613\/jair.1872","volume":"26","author":"H Daume III","year":"2006","unstructured":"Daume H III, Marcu D (2006) Domain adaptation for statistical classifiers. J Artif Intell Res 26:101\u2013126","journal-title":"J Artif Intell Res"},{"key":"10152_CR10","doi-asserted-by":"crossref","unstructured":"Zhu Y et al (2011) Heterogeneous transfer learning for image classification. In: AAAI","DOI":"10.1609\/aaai.v25i1.8090"},{"issue":"11","key":"10152_CR11","doi-asserted-by":"publisher","first-page":"2025","DOI":"10.1109\/TKDE.2011.143","volume":"24","author":"F Zhuang","year":"2012","unstructured":"Zhuang F et al (2012) Mining distinction and commonality across multiple domains using generative model for text classification. IEEE Trans Knowl Data Eng 24(11):2025\u20132039","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"10152_CR12","unstructured":"Glorot X, Bordes A, Bengio Y (2011) Domain adaptation for large-scale sentiment classification: a deep learning approach. In: Proceedings of the 28th international conference on machine learning (ICML-11), pp 513\u2013520"},{"key":"10152_CR13","doi-asserted-by":"crossref","unstructured":"Hu J, Lu J, Tan Y-P (2015) Deep transfer metric learning. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 325\u2013333","DOI":"10.1109\/CVPR.2015.7298629"},{"issue":"10","key":"10152_CR14","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Yang Q (2010) A survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"10152_CR15","doi-asserted-by":"crossref","first-page":"277","DOI":"10.7551\/mitpress\/6173.003.0021","volume-title":"Semi-supervised learning, Chap 15","author":"X Zhu","year":"2006","unstructured":"Zhu X, Kandola J, Lafferty J, Ghahramani Z (2006) Graph kernels by spectral transforms. In: Semi-supervised learning, Chap 15. MIT Press, Cambridge, MA, pp 277\u2013289"},{"issue":"4","key":"10152_CR16","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1561\/2200000019","volume":"5","author":"B Kulis","year":"2013","unstructured":"Kulis B (2013) Metric learning: a survey. Found Trends Mach Learn 5(4):287\u2013364","journal-title":"Found Trends Mach Learn"},{"issue":"5500","key":"10152_CR17","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis ST, Saul LK (2000) Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500):2323\u20132326","journal-title":"Science"},{"issue":"5500","key":"10152_CR18","doi-asserted-by":"publisher","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","volume":"290","author":"JB Tenenbaum","year":"2000","unstructured":"Tenenbaum JB, De Silva V, Langford JC (2000) A global geometric framework for nonlinear dimensionality reduction. Science 290(5500):2319\u20132323","journal-title":"Science"},{"key":"10152_CR19","doi-asserted-by":"crossref","unstructured":"Belkin M, Niyogi P (2002) Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Advances in neural information processing systems, pp 585\u2013591","DOI":"10.7551\/mitpress\/1120.003.0080"},{"key":"10152_CR20","doi-asserted-by":"crossref","unstructured":"Davis JV, Kulis B, Jain P, Sra S, Dhillon IS (2007) Information-theoretic metric learning. In: Proceedings of the 24th international conference on machine learning, pp 209\u2013216","DOI":"10.1145\/1273496.1273523"},{"key":"10152_CR21","unstructured":"Weinberger KQ, Blitzer J, Saul LK (2006) Distance metric learning for large margin nearest neighbor classification. In: Advances in neural information processing systems, pp 1473\u20131480"},{"issue":"3","key":"10152_CR22","doi-asserted-by":"publisher","first-page":"542","DOI":"10.1109\/TNN.2009.2015974","volume":"20","author":"O Chapelle","year":"2009","unstructured":"Chapelle O, Scholkopf B, Zien A (2009) Semi-supervised learning (Chapelle O et al (eds) 2006) [book reviews]. IEEE Trans Neural Netw 20(3):542","journal-title":"IEEE Trans Neural Netw"},{"key":"10152_CR23","unstructured":"Dhillon PS, Talukdar P, Crammer K (2012) Metric learning for graph-based domain adaptation. University of Pennsylvania, Department of Computer and Information Science Technical Report No. MS-CIS-12-17, January 2012"},{"issue":"1","key":"10152_CR24","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1186\/s40537-016-0043-6","volume":"3","author":"K Weiss","year":"2016","unstructured":"Weiss K, Khoshgoftaar TM, Wang D (2016) A survey of transfer learning. J Big Data 3(1):9","journal-title":"J Big Data"},{"key":"10152_CR25","unstructured":"Sugiyama M, Nakajima S, Kashima H, Buenau PV, Kawanabe M (2008) Direct importance estimation with model selection and its application to covariate shift adaptation. In: Advances in neural information processing systems, pp 1433\u20131440"},{"key":"10152_CR26","doi-asserted-by":"crossref","unstructured":"Dai W, Yang Q, Xue G-R, Yu Y (2007) Boosting for transfer learning. In: Proceedings 24th international conference machine learning","DOI":"10.1145\/1273496.1273521"},{"key":"10152_CR27","doi-asserted-by":"crossref","unstructured":"Cortes C, Mohri M, Riley M, Rostamizadeh A(2008) Sample selection bias correction theory. In: International conference on algorithmic learning theory, pp 38\u201353","DOI":"10.1007\/978-3-540-87987-9_8"},{"key":"10152_CR28","doi-asserted-by":"crossref","unstructured":"Baktashmotlagh M, Harandi MT, Lovell BC, Salzmann M (2014) Domain adaptation on the statistical manifold. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2481\u20132488","DOI":"10.1109\/CVPR.2014.318"},{"issue":"2","key":"10152_CR29","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TNN.2010.2091281","volume":"22","author":"SJ Pan","year":"2011","unstructured":"Pan SJ, Tsang IW, Kwok JT, Yang Q (2011) Domain adaptation via transfer component analysis. IEEE Trans Neural Netw 22(2):199\u2013210","journal-title":"IEEE Trans Neural Netw"},{"key":"10152_CR30","doi-asserted-by":"crossref","unstructured":"Long M, Wang J, Ding G, Sun J, Yu PS (2013) Transfer feature learning with joint distribution adaptation. In: Proceedings of the IEEE international conference on computer vision, pp 2200\u20132207","DOI":"10.1109\/ICCV.2013.274"},{"key":"10152_CR31","doi-asserted-by":"crossref","unstructured":"Baktashmotlagh M, Harandi MT, Lovell BC, Salzmann M (2013) Unsupervised domain adaptation by domain invariant projection. In: Proceedings of the IEEE international conference on computer vision, pp 769\u2013776","DOI":"10.1109\/ICCV.2013.100"},{"key":"10152_CR32","doi-asserted-by":"crossref","unstructured":"Fernando B, Habrard A, Sebban M, Tuytelaars T (2013) Unsupervised visual domain adaptation using subspace alignment. In: Proceedings of the IEEE international conference on computer vision, pp 2960\u20132967","DOI":"10.1109\/ICCV.2013.368"},{"key":"10152_CR33","doi-asserted-by":"crossref","unstructured":"Gong B, Shi Y, Sha F, Grauman K (2012) Geodesic flow kernel for unsupervised domain adaptation. In: 2012 IEEE conference on computer vision and pattern recognition (CVPR), pp 2066\u20132073","DOI":"10.1109\/CVPR.2012.6247911"},{"key":"10152_CR34","doi-asserted-by":"crossref","unstructured":"Bahadori MT, Liu Y, Zhang D (2011) Learning with minimum supervision: a general framework for transductive transfer learning. In: 2011 IEEE 11th international conference on data mining (ICDM), pp 61\u201370","DOI":"10.1109\/ICDM.2011.92"},{"issue":"5","key":"10152_CR35","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1109\/TPAMI.2009.57","volume":"32","author":"L Bruzzone","year":"2010","unstructured":"Bruzzone L, Marconcini M (2010) Domain adaptation problems: a DASVM classification technique and a circular validation strategy. IEEE Trans Pattern Anal Mach Intell 32(5):770\u2013787","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10152_CR36","doi-asserted-by":"crossref","unstructured":"Quanz B, Huan J (2009) Large margin transductive transfer learning. In: Proceedings of the 18th ACM conference on information and knowledge management, pp 1327\u20131336","DOI":"10.1145\/1645953.1646121"},{"issue":"3","key":"10152_CR37","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1109\/TPAMI.2011.114","volume":"34","author":"L Duan","year":"2012","unstructured":"Duan L, Tsang IW, Xu D (2012) Domain transfer multiple kernel learning. IEEE Trans Pattern Anal Mach Intell 34(3):465\u2013479","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"10152_CR38","unstructured":"Xiao M, Guo Y (2012) Semi-supervised kernel matching for domain adaptation. In: AAAI"},{"issue":"5","key":"10152_CR39","doi-asserted-by":"publisher","first-page":"1076","DOI":"10.1109\/TKDE.2013.111","volume":"26","author":"M Long","year":"2014","unstructured":"Long M, Wang J, Ding G, Pan SJ, Philip SY (2014) Adaptation regularization: a general framework for transfer learning. IEEE Trans Knowl Data Eng 26(5):1076\u20131089","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"2","key":"10152_CR40","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1109\/TIP.2016.2631887","volume":"26","author":"Z Ding","year":"2017","unstructured":"Ding Z, Fu Y (2017) Robust transfer metric learning for image classification. IEEE Trans Image Process 26(2):660\u2013670","journal-title":"IEEE Trans Image Process"},{"key":"10152_CR41","unstructured":"Chen M, Xu Z, Weinberger K, Sha F (2012) Marginalized denoising autoencoders for domain adaptation. arXiv Prepr. arXiv:1206.4683"},{"key":"10152_CR42","first-page":"3371","volume":"11","author":"P Vincent","year":"2010","unstructured":"Vincent P, Larochelle H, Lajoie I, Bengio Y, Manzagol P-A (2010) Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J Mach Learn Res 11:3371\u20133408","journal-title":"J Mach Learn Res"},{"key":"10152_CR43","doi-asserted-by":"crossref","unstructured":"Zhong G, Huang K, Liu C-L (2011) Low rank metric learning with manifold regularization. In: 2011 IEEE 11th international conference on data mining (ICDM), pp 1266\u20131271","DOI":"10.1109\/ICDM.2011.95"},{"key":"10152_CR44","first-page":"2399","volume":"7","author":"M Belkin","year":"2006","unstructured":"Belkin M, Niyogi P, Sindhwani V (2006) Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J Mach Learn Res 7:2399\u20132434","journal-title":"J Mach Learn Res"},{"issue":"4","key":"10152_CR45","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Von Luxburg","year":"2007","unstructured":"Von Luxburg U (2007) A tutorial on spectral clustering. Stat Comput 17(4):395\u2013416","journal-title":"Stat Comput"},{"key":"10152_CR46","doi-asserted-by":"crossref","unstructured":"Sch\u00f6lkopf B, Herbrich R, Smola AJ (2001) A generalized representer theorem. In: International conference on computational learning theory, pp 416\u2013426","DOI":"10.1007\/3-540-44581-1_27"},{"issue":"1","key":"10152_CR47","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1162\/jocn.1991.3.1.71","volume":"3","author":"M Turk","year":"1991","unstructured":"Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71\u201386","journal-title":"J Cogn Neurosci"},{"key":"10152_CR48","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1109\/TIP.2015.2510498","volume":"25","author":"XLY Xu","year":"2016","unstructured":"Xu XLY, Fang X, Wu J, Zhang D (2016) Discriminative transfer subspace learning via low-rank and sparse representation. IEEE Trans Image Process 25:850\u2013863","journal-title":"IEEE Trans Image Process"},{"issue":"9","key":"10152_CR49","doi-asserted-by":"publisher","first-page":"4260","DOI":"10.1109\/TIP.2018.2839528","volume":"27","author":"S Li","year":"2018","unstructured":"Li S, Song S, Huang G, Ding Z, Wu C (2018) Domain invariant and class discriminative feature learning for visual domain adaptation. IEEE Trans Image Process 27(9):4260\u20134273","journal-title":"IEEE Trans Image Process"},{"key":"10152_CR50","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.knosys.2018.08.026","volume":"163","author":"P Razzaghi","year":"2019","unstructured":"Razzaghi P, Razzaghi P, Abbasi K (2019) Transfer subspace learning via low-rank and discriminative reconstruction matrix. Knowl Based Syst 163:174\u2013185","journal-title":"Knowl Based Syst"},{"key":"10152_CR51","first-page":"2579","volume":"9","author":"L van der Maaten","year":"2008","unstructured":"van der Maaten L, Hinton G (2008) Visualizing data using t-SNE. J Mach Learn Res 9:2579\u20132605","journal-title":"J Mach Learn Res"},{"issue":"3","key":"10152_CR52","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s00500-008-0323-y","volume":"13","author":"J Alcal\u00e1-Fdez","year":"2009","unstructured":"Alcal\u00e1-Fdez J et al (2009) KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput 13(3):307\u2013318","journal-title":"Soft Comput"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-019-10152-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-019-10152-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-019-10152-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T23:15:23Z","timestamp":1722035723000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-019-10152-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,14]]},"references-count":52,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["10152"],"URL":"https:\/\/doi.org\/10.1007\/s11063-019-10152-3","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,14]]},"assertion":[{"value":"14 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}