{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T19:04:08Z","timestamp":1767035048662},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700953"},{"type":"electronic","value":"9783319700960"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70096-0_43","type":"book-chapter","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T21:33:18Z","timestamp":1508880798000},"page":"413-421","source":"Crossref","is-referenced-by-count":67,"title":["Soft-Margin Softmax for Deep Classification"],"prefix":"10.1007","author":[{"given":"Xuezhi","family":"Liang","sequence":"first","affiliation":[]},{"given":"Xiaobo","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhen","family":"Lei","sequence":"additional","affiliation":[]},{"given":"Shengcai","family":"Liao","sequence":"additional","affiliation":[]},{"given":"Stan Z.","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,26]]},"reference":[{"key":"43_CR1","unstructured":"Liu, W., Wen, Y., Yu, Z.: Large-margin softmax loss for convolutional neural networks. In: ICML (2016)"},{"key":"43_CR2","unstructured":"Wan, L., Zeiler, M., Zhang, S.: Regularization of neural networks using dropconnect. In: ICML (2013)"},{"key":"43_CR3","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: NIPS (2012)"},{"key":"43_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X.: Deep residual learning for image recognition. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"43_CR5","unstructured":"Sun, Y., Chen, Y., Wang, X.: Deep learning face representation by joint identification-verification. In: NIPS (2014)"},{"key":"43_CR6","doi-asserted-by":"crossref","unstructured":"Taigman, Y., Yang, M., Ranzato, M.A.: Deepface: closing the gap to human-level performance in face verification. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.220"},{"key":"43_CR7","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y.: Going deeper with convolutions. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"43_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: CVPR (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"43_CR9","unstructured":"Srivastava, N., Hinton, G.E., Krizhevsky, A.: Dropout: a simple way to prevent neural networks from overfitting. JMLR (2014)"},{"key":"43_CR10","unstructured":"Zeiler, M.D., Fergus, R.: Stochastic pooling for regularization of deep convolutional neural networks. arXiv preprint arXiv:1301.3557 (2013)"},{"key":"43_CR11","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: A unified embedding for face recognition and clustering. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"43_CR12","unstructured":"Tang, Y.: Deep learning using linear support vector machines. arXiv preprint arXiv:1306.0239 (2013)"},{"key":"43_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1007\/978-3-319-46478-7_31","volume-title":"Computer Vision \u2013 ECCV 2016","author":"Y Wen","year":"2016","unstructured":"Wen, Y., Zhang, K., Li, Z., Qiao, Y.: A discriminative feature learning approach for deep face recognition. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 499\u2013515. Springer, Cham (2016). doi: 10.1007\/978-3-319-46478-7_31"},{"key":"43_CR14","doi-asserted-by":"crossref","unstructured":"Liu, W., Wen, Y., Yu, Z.: SphereFace: deep hypersphere embedding for face recognition. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.713"},{"key":"43_CR15","unstructured":"Martins, A., Astudillo, R.: From softmax to sparsemax: a sparse model of attention and multi-label classification. In: ICML (2016)"},{"key":"43_CR16","doi-asserted-by":"crossref","unstructured":"Jarrett, K., Kavukcuoglu, K., LeCun, Y.: What is the best multi-stage architecture for object recognition? In: ICCV (2009)","DOI":"10.1109\/ICCV.2009.5459469"},{"key":"43_CR17","unstructured":"Lin, M., Chen, Q., Yan, S.: Network in network. In: ICLR (2014)"},{"key":"43_CR18","unstructured":"Goodfellow, I.J., Warde-Farley, D., Mirza, M.: Maxout Networks. In: ICML (2013)"},{"key":"43_CR19","unstructured":"Romero, A., Ballas, N.: Fitnets: Hints for thin deep nets. In: ICLR (2013)"},{"key":"43_CR20","unstructured":"Lee, C.Y., Xie, S., Gallagher, P.W.: Deeply-supervised nets. AISTATS (2015)"},{"key":"43_CR21","unstructured":"Springenberg, J.T., Dosovitskiy, A., Brox, T.: Striving for simplicity: The all convolutional net. In: ICLR (2015)"},{"key":"43_CR22","doi-asserted-by":"crossref","unstructured":"Liang, M., Hu, X.: Recurrent convolutional neural network for object recognition. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298958"},{"key":"43_CR23","unstructured":"Lee, C.Y., Gallagher, P.W., Tu, Z.: Generalizing pooling functions in convolutional neural networks: mixed, gated, and tree. AISTATS (2016)"},{"key":"43_CR24","unstructured":"LeCun, Y. The MNIST database of handwritten digits (1998), http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"key":"43_CR25","unstructured":"Krizhevsky, A., Geoffrey, H.: Learning multiple layers of features from tiny images (2009)"},{"key":"43_CR26","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., Donahue, J.: Caffe: Convolutional architecture for fast feature embedding. In: ACM (2014)","DOI":"10.1145\/2647868.2654889"},{"key":"43_CR27","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"43_CR28","unstructured":"Glorot, X., Bordes, A., Bengio, Y.: Deep sparse rectifier neural networks. AISTATS (2011)"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70096-0_43","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T23:30:13Z","timestamp":1570231813000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-70096-0_43"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700953","9783319700960"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70096-0_43","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}