{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T00:52:49Z","timestamp":1740099169828,"version":"3.37.3"},"publisher-location":"Cham","reference-count":37,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030039905"},{"type":"electronic","value":"9783030039912"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","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":[[2018]]},"DOI":"10.1007\/978-3-030-03991-2_63","type":"book-chapter","created":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T19:24:14Z","timestamp":1541791454000},"page":"706-717","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions"],"prefix":"10.1007","author":[{"given":"Ancheng","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lujuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenyuan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,10]]},"reference":[{"key":"63_CR1","unstructured":"Breuleux, O., Bengio, Y., Vincent, P.: Unlearning for better mixing. Technical Report 1349, Universit\u00e9 de Montr\u00e9al\/DIRO (2010)"},{"issue":"8","key":"63_CR2","doi-asserted-by":"publisher","first-page":"2058","DOI":"10.1162\/NECO_a_00158","volume":"23","author":"O Breuleux","year":"2011","unstructured":"Breuleux, O., Bengio, Y., Vincent, P.: Quickly generating representative samples from an RBM-derived process. Neural Comput. 23(8), 2058\u20132073 (2011)","journal-title":"Neural Comput."},{"key":"63_CR3","doi-asserted-by":"crossref","unstructured":"Choi, Y., Choi, M., Kim, M., Ha, J.-W., Kim, S., Choo, J.: Stargan: unified generative adversarial networks for multi-domain image-to-image translation. arXiv preprint arXiv:1711.09020 (2017)","DOI":"10.1109\/CVPR.2018.00916"},{"key":"63_CR4","unstructured":"Denton, E.L., Chintala, S., Fergus, R., et al.: Deep generative image models using a laplacian pyramid of adversarial networks, pp. 1486\u20131494 (2015)"},{"issue":"4","key":"63_CR5","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1109\/TNNLS.2012.2236652","volume":"24","author":"S Garimella","year":"2013","unstructured":"Garimella, S., Hermansky, H.: Factor analysis of auto-associative neural networks with application in speaker verification. IEEE Trans. Neural Netw. Learn. Syst. 24(4), 522\u2013528 (2013)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"63_CR6","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M.: A neural algorithm of artistic style. CoRR, abs\/1508.06576 (2015)"},{"key":"63_CR7","unstructured":"Goodfellow, I.J.: NIPS 2016 tutorial: generative adversarial networks. CoRR, abs\/1701.00160 (2017)"},{"key":"63_CR8","unstructured":"Goodfellow, I.J., Mirza, M., Courville, A.C., Bengio, Y.: Multi-prediction deep Boltzmann machines. In: NIPS, pp. 548\u2013556 (2013)"},{"key":"63_CR9","unstructured":"Goodfellow, I.J., et al.: Generative adversarial networks. CoRR, abs\/1406.2661 (2014)"},{"key":"63_CR10","unstructured":"Gulrajani, I., Ahmed, F., Arjovsky, M., Dumoulin, V., Courville, A.C.: Improved training of wasserstein gans. In: NIPS, pp. 5769\u20135779 (2017)"},{"key":"63_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"7","key":"63_CR12","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1162\/neco.2006.18.7.1527","volume":"18","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Osindero, S., Teh, Y.W.: A fast learning algorithm for deep belief nets. Neural Comput. 18(7), 1527\u20131554 (2006)","journal-title":"Neural Comput."},{"key":"63_CR13","unstructured":"Hoang, Q., Nguyen, T.D., Le, T., Phung, D.: MGAN: training generative adversarial nets with multiple generators. In: ICLR, p. 24 (2018)"},{"key":"63_CR14","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: CVPR, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"issue":"3","key":"63_CR15","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1109\/TNNLS.2013.2280271","volume":"25","author":"R Khosrowabadi","year":"2014","unstructured":"Khosrowabadi, R., Quek, C., Ang, K.K., Wahab, A.: ERNN: a biologically inspired feedforward neural network to discriminate emotion from EEG signal. IEEE Trans. Neural Netw. Learn. Syst. 25(3), 609\u2013620 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"63_CR16","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. CoRR, abs\/1312.6114 (2013)"},{"key":"63_CR17","unstructured":"Krizhevsky, A., Nair, V., Hinton, G.: The CIFAR-10 dataset (2014)"},{"issue":"7553","key":"63_CR18","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.E.: Deep learning. Nature 521(7553), 436\u2013444 (2015)","journal-title":"Nature"},{"issue":"11","key":"63_CR19","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"key":"63_CR20","unstructured":"Liu, M.Y., Breuel, T., Kautz, J.: Unsupervised image-to-image translation networks. In: NIPS, pp. 700\u2013708 (2017)"},{"key":"63_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","volume-title":"Computer Vision \u2013 ECCV 2016","author":"W Liu","year":"2016","unstructured":"Liu, W., et al.: SSD: single shot multibox detector. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9905, pp. 21\u201337. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2"},{"issue":"1","key":"63_CR22","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1111\/1467-937X.00076","volume":"66","author":"E Maskin","year":"1999","unstructured":"Maskin, E.: Nash equilibrium and welfare optimality. Rev. Econ. Stud. 66(1), 23\u201338 (1999)","journal-title":"Rev. Econ. Stud."},{"key":"63_CR23","unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. CoRR, abs\/1411.1784 (2014)"},{"key":"63_CR24","unstructured":"Nair, V., Hinton, G.E.: Rectified linear units improve restricted Boltzmann machines. In: ICML, pp. 807\u2013814 (2010)"},{"key":"63_CR25","unstructured":"Odena, A., Olah, C., Shlens, J.: Conditional image synthesis with auxiliary classifier GANs. In: ICML, pp. 2642\u20132651 (2017)"},{"key":"63_CR26","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. CoRR, abs\/1511.06434 (2015)"},{"key":"63_CR27","unstructured":"Reed, S., Akata, Z., Yan, X., Logeswaran, L., Schiele, B., Lee, H.: Generative adversarial text to image synthesis. In: ICML, pp. 1060\u20131069 (2016)"},{"key":"63_CR28","unstructured":"Ren, S., He, K., Girshick, R.B., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS, pp. 91\u201399 (2015)"},{"key":"63_CR29","unstructured":"Schwarz, B., Richardson, M.: Using a de-convolution window for operating modal analysis. In: Proceedings of the IMAC. Citeseer (2007)"},{"key":"63_CR30","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR, abs\/1409.1556 (2014)"},{"key":"63_CR31","doi-asserted-by":"crossref","unstructured":"Song, J., He, T., Gao, L., Xu, X., Hanjalic, A., Shen, H.T.: Binary generative adversarial networks for image retrieval. In: AAAI (2018)","DOI":"10.1609\/aaai.v32i1.11276"},{"issue":"1","key":"63_CR32","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A., Sutskever, I., Salakhutdinov, R.: Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"63_CR33","unstructured":"Sutskever, I., Hinton, G.E., Taylor, G.W.: The recurrent temporal restricted Boltzmann machine. In: NIPS, pp. 1601\u20131608 (2008)"},{"key":"63_CR34","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: NIPS, pp. 3104\u20133112 (2014)"},{"key":"63_CR35","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Ioffe, S., Vanhoucke, V., Alemi, A.A.: Inception-v4, inception-resnet and the impact of residual connections on learning. In: AAAI, pp. 4278\u20134284 (2017)","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"63_CR36","unstructured":"Cortes, C., LeCun, Y., Burges, C.J.C.: The MNIST database of handwritten digits (1998)"},{"key":"63_CR37","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Lecture Notes in Computer Science","AI 2018: Advances in Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03991-2_63","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T18:38:39Z","timestamp":1662403119000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-03991-2_63"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030039905","9783030039912"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03991-2_63","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wellington","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecs.victoria.ac.nz\/Events\/AI2018\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}