{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:42:35Z","timestamp":1742949755934,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030732790"},{"type":"electronic","value":"9783030732806"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-73280-6_64","type":"book-chapter","created":{"date-parts":[[2021,4,4]],"date-time":"2021-04-04T08:02:28Z","timestamp":1617523348000},"page":"811-823","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Facial Representation Extraction by Mutual Information Maximization and Correlation Minimization"],"prefix":"10.1007","author":[{"given":"Xiaobo","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenyun","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,5]]},"reference":[{"key":"64_CR1","unstructured":"Alemi, A.A., Fischer, I., Dillon, J.V., Murphy, K.: Deep variational information bottleneck. arXiv preprint arXiv:1612.00410 (2016)"},{"key":"64_CR2","unstructured":"Belghazi, M.I., et al.: MINE: mutual information neural estimation. arXiv preprint arXiv:1801.04062 (2018)"},{"key":"64_CR3","doi-asserted-by":"crossref","unstructured":"Cai, J., Meng, Z., Khan, A.S., Li, Z., O\u2019Reilly, J., Tong, Y.: Island loss for learning discriminative features in facial expression recognition. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition, FG 2018, pp. 302\u2013309. IEEE (2018)","DOI":"10.1109\/FG.2018.00051"},{"key":"64_CR4","unstructured":"Hjelm, R.D., et al.: Learning deep representations by mutual information estimation and maximization. arXiv preprint arXiv:1808.06670 (2018)"},{"key":"64_CR5","unstructured":"Singular Inversions: FaceGen Modeller (version 3.3) [computer software]. Singular Inversions, Toronto, ON (2008)"},{"key":"64_CR6","doi-asserted-by":"crossref","unstructured":"Kemertas, M., Pishdad, L., Derpanis, K.G., Fazly, A.: RankMI: a mutual information maximizing ranking loss. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 14362\u201314371 (2020)","DOI":"10.1109\/CVPR42600.2020.01437"},{"key":"64_CR7","unstructured":"Krizhevsky, A., Hinton, G., et al.: Learning multiple layers of features from tiny images (2009)"},{"issue":"6","key":"64_CR8","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. Commun. ACM 60(6), 84\u201390 (2017)","journal-title":"Commun. ACM"},{"key":"64_CR9","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: International Conference on Machine Learning, pp. 1188\u20131196 (2014)"},{"key":"64_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"534","DOI":"10.1007\/978-3-030-20870-7_33","volume-title":"Computer Vision \u2013 ACCV 2018","author":"Y Li","year":"2019","unstructured":"Li, Y., et al.: Identity-enhanced network for facial expression recognition. In: Jawahar, C.V., Li, H., Mori, G., Schindler, K. (eds.) ACCV 2018. LNCS, vol. 11364, pp. 534\u2013550. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-20870-7_33"},{"issue":"3","key":"64_CR11","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/2.36","volume":"21","author":"R Linsker","year":"1988","unstructured":"Linsker, R.: Self-organization in a perceptual network. Computer 21(3), 105\u2013117 (1988)","journal-title":"Computer"},{"key":"64_CR12","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"64_CR13","unstructured":"Nowozin, S., Cseke, B., Tomioka, R.: f-GAN: training generative neural samplers using variational divergence minimization. In: Advances in Neural Information Processing Systems, pp. 271\u2013279 (2016)"},{"key":"64_CR14","unstructured":"Rong, X.: word2vec parameter learning explained. arXiv preprint arXiv:1411.2738 (2014)"},{"key":"64_CR15","doi-asserted-by":"crossref","unstructured":"Shi, Y., Yu, X., Sohn, K., Chandraker, M., Jain, A.K.: Towards universal representation learning for deep face recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6817\u20136826 (2020)","DOI":"10.1109\/CVPR42600.2020.00685"},{"key":"64_CR16","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/j.neucom.2019.01.068","volume":"337","author":"W Sun","year":"2019","unstructured":"Sun, W., Song, Y., Jin, Z., Zhao, H., Chen, C.: Unsupervised orthogonal facial representation extraction via image reconstruction with correlation minimization. Neurocomputing 337, 203\u2013217 (2019)","journal-title":"Neurocomputing"},{"key":"64_CR17","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1016\/j.neucom.2018.04.063","volume":"306","author":"W Sun","year":"2018","unstructured":"Sun, W., Zhao, H., Jin, Z.: A complementary facial representation extracting method based on deep learning. Neurocomputing 306, 246\u2013259 (2018)","journal-title":"Neurocomputing"},{"key":"64_CR18","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.neucom.2018.03.034","volume":"296","author":"W Sun","year":"2018","unstructured":"Sun, W., Zhao, H., Jin, Z.: A visual attention based ROI detection method for facial expression recognition. Neurocomputing 296, 12\u201322 (2018)","journal-title":"Neurocomputing"},{"key":"64_CR19","doi-asserted-by":"publisher","first-page":"105490","DOI":"10.1016\/j.knosys.2020.105490","volume":"194","author":"C Tang","year":"2020","unstructured":"Tang, C., Yang, X., Lv, J., He, Z.: Zero-shot learning by mutual information estimation and maximization. Knowl. Based Syst. 194, 105490 (2020)","journal-title":"Knowl. Based Syst."},{"key":"64_CR20","unstructured":"Tschannen, M., Djolonga, J., Rubenstein, P.K., Gelly, S., Lucic, M.: On mutual information maximization for representation learning. arXiv preprint arXiv:1907.13625 (2019)"},{"key":"64_CR21","doi-asserted-by":"crossref","unstructured":"Wang, K., Peng, X., Yang, J., Lu, S., Qiao, Y.: Suppressing uncertainties for large-scale facial expression recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6897\u20136906 (2020)","DOI":"10.1109\/CVPR42600.2020.00693"},{"key":"64_CR22","unstructured":"Wen, L., Zhou, Y., He, L., Zhou, M., Xu, Z.: Mutual information gradient estimation for representation learning. arXiv preprint arXiv:2005.01123 (2020)"},{"key":"64_CR23","doi-asserted-by":"publisher","first-page":"106260","DOI":"10.1016\/j.knosys.2020.106260","volume":"205","author":"C Xu","year":"2020","unstructured":"Xu, C., Dai, Y., Lin, R., Wang, S.: Deep clustering by maximizing mutual information in variational auto-encoder. Knowl. Based Syst. 205, 106260 (2020)","journal-title":"Knowl. Based Syst."},{"key":"64_CR24","doi-asserted-by":"crossref","unstructured":"Yang, H., Ciftci, U., Yin, L.: Facial expression recognition by de-expression residue learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2168\u20132177 (2018)","DOI":"10.1109\/CVPR.2018.00231"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-73280-6_64","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,4]],"date-time":"2021-04-04T08:11:40Z","timestamp":1617523900000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-73280-6_64"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030732790","9783030732806"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-73280-6_64","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"5 April 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phuket","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 April 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 April 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}