{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T02:28:16Z","timestamp":1742956096534,"version":"3.40.3"},"publisher-location":"Cham","reference-count":39,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319686110"},{"type":"electronic","value":"9783319686127"}],"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":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68612-7_61","type":"book-chapter","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T11:31:17Z","timestamp":1508844677000},"page":"539-546","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["A Novel Image Tag Completion Method Based on Convolutional Neural Transformation"],"prefix":"10.1007","author":[{"given":"Yanyan","family":"Geng","sequence":"first","affiliation":[]},{"given":"Guohui","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Weizhi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Gu","sequence":"additional","affiliation":[]},{"given":"Ru-Ze","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Gaoyuan","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Jingbin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yanbin","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Nitin","family":"Patil","sequence":"additional","affiliation":[]},{"given":"Jing-Yan","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,25]]},"reference":[{"issue":"2","key":"61_CR1","first-page":"9","volume":"4","author":"W Cai","year":"2016","unstructured":"Cai, W.: Class D power amplifier for medical application. Inf. Eng. Int. J. (IEIJ) 4(2), 9\u201315 (2016)","journal-title":"Inf. Eng. Int. J. (IEIJ)"},{"issue":"9","key":"61_CR2","doi-asserted-by":"publisher","first-page":"307","DOI":"10.22159\/ijpps.2016v8i9.12141","volume":"8","author":"W Cai","year":"2016","unstructured":"Cai, W.: Low power SI based power amplifier for healthcare application. Int. J. Pharm. Pharm. Sci. 8(9), 307\u2013309 (2016)","journal-title":"Int. J. Pharm. Pharm. Sci."},{"unstructured":"Cai, W., Huang, L., Wen, W.: 2.4 GHZ class AB power amplifier for healthcare application. Int. J. Biomed. Eng. Sci. (IJBES) (2016). arXiv preprint arXiv:1605.02455","key":"61_CR3"},{"doi-asserted-by":"crossref","unstructured":"Cai, W., Zhou, X., Cui, X.: Optimization of a GPU implementation of multi-dimensional RF pulse design algorithm. In: 2011 5th International Conference on Bioinformatics and Biomedical Engineering, (iCBBE), pp. 1\u20134. IEEE (2011)","key":"61_CR4","DOI":"10.1109\/icbbe.2011.5780360"},{"key":"61_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1007\/978-3-319-09873-9_22","volume-title":"Euro-Par 2014 Parallel Processing","author":"L Cheng","year":"2014","unstructured":"Cheng, L., Kotoulas, S., Ward, T.E., Theodoropoulos, G.: Robust and efficient large-large table outer joins on distributed infrastructures. In: Silva, F., Dutra, I., Santos Costa, V. (eds.) Euro-Par 2014. LNCS, vol. 8632, pp. 258\u2013269. Springer, Cham (2014). doi: 10.1007\/978-3-319-09873-9_22"},{"doi-asserted-by":"crossref","unstructured":"Cheng, L., Kotoulas, S., Ward, T.E., Theodoropoulos, G.: Robust and skew-resistant parallel joins in shared-nothing systems. In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, pp. 1399\u20131408. ACM (2014)","key":"61_CR6","DOI":"10.1145\/2661829.2661888"},{"key":"61_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1007\/978-3-319-10584-0_28","volume-title":"Computer Vision \u2013 ECCV 2014","author":"Z Feng","year":"2014","unstructured":"Feng, Z., Feng, S., Jin, R., Jain, A.K.: Image tag completion by noisy matrix recovery. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8695, pp. 424\u2013438. Springer, Cham (2014). doi: 10.1007\/978-3-319-10584-0_28"},{"doi-asserted-by":"publisher","unstructured":"Fu, J., Wu, Y., Mei, T., Wang, J., Lu, H., Rui, Y.: Relaxing from vocabulary: robust weakly-supervised deep learning for vocabulary-free image tagging. In: Proceedings of the IEEE International Conference on Computer Vision, vol. 11\u201318-December-2015, pp. 1985\u20131993. doi: 10.1109\/ICCV.2015.230 (2016)","key":"61_CR8","DOI":"10.1109\/ICCV.2015.230"},{"unstructured":"Geng, Y., Liang, R.Z., Li, W., Wang, J., Liang, G., Xu, C., Wang, J.Y.: Learning convolutional neural network to maximize pos@top performance measure. In: ESANN (2016)","key":"61_CR9"},{"doi-asserted-by":"crossref","unstructured":"Hobbs, K.H., Zhang, P., Shi, B., Smith, C.D., Liu, J.: Quad-mesh based radial distance biomarkers for alzheimer\u2019s disease. In: 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), pp. 19\u201323. IEEE (2016)","key":"61_CR10","DOI":"10.1109\/ISBI.2016.7493201"},{"issue":"7","key":"61_CR11","doi-asserted-by":"publisher","first-page":"1478","DOI":"10.1016\/j.burns.2015.05.009","volume":"41","author":"DR King","year":"2015","unstructured":"King, D.R., Li, W., Squiers, J.J., Mohan, R., Sellke, E., Mo, W., Zhang, X., Fan, W., DiMaio, J.M., Thatcher, J.E.: Surgical wound debridement sequentially characterized in a porcine burn model with multispectral imaging. Burns 41(7), 1478\u20131487 (2015)","journal-title":"Burns"},{"doi-asserted-by":"crossref","unstructured":"Li, Q., Zhou, X., Gu, A., Li, Z., Liang, R.Z.: Nuclear norm regularized convolutional max pos@top machine. Neural Comput. Appl. 1\u201310 (2016)","key":"61_CR12","DOI":"10.1007\/s00521-016-2680-2"},{"doi-asserted-by":"crossref","unstructured":"Li, W., Mo, W., Zhang, X., Lu, Y., Squiers, J.J., Sellke, E.W., Fan, W., DiMaio, J.M., Thatcher, J.E.: Burn injury diagnostic imaging device\u2019s accuracy improved by outlier detection and removal. In: SPIE Defense+ Security, p. 947206. International Society for Optics and Photonics (2015)","key":"61_CR13","DOI":"10.1117\/12.2177433"},{"issue":"12","key":"61_CR14","doi-asserted-by":"publisher","first-page":"121305","DOI":"10.1117\/1.JBO.20.12.121305","volume":"20","author":"W Li","year":"2015","unstructured":"Li, W., Mo, W., Zhang, X., Squiers, J.J., Lu, Y., Sellke, E.W., Fan, W., DiMaio, J.M., Thatcher, J.E.: Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging. J. Biomed. Optics 20(12), 121305 (2015)","journal-title":"J. Biomed. Optics"},{"key":"61_CR15","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1016\/j.neucom.2014.12.121","volume":"173","author":"X Li","year":"2016","unstructured":"Li, X., Zhang, Y.J., Shen, B., Liu, B.D.: Low-rank image tag completion with dual reconstruction structure preserved. Neurocomputing 173, 425\u2013433 (2016)","journal-title":"Neurocomputing"},{"unstructured":"Liang, R.Z., Shi, L., Wang, H., Meng, J., Wang, J.J.Y., Sun, Q., Gu, Y.: Optimizing top precision performance measure of content-based image retrieval by learning similarity function. In: 2016 23st International Conference on Pattern Recognition (ICPR). IEEE (2016)","key":"61_CR16"},{"doi-asserted-by":"crossref","unstructured":"Liang, R.Z., Xie, W., Li, W., Wang, H., Wang, J.J.Y., Taylor, L.: A novel transfer learning method based on common space mapping and weighted domain matching. In: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 299\u2013303. IEEE (2016)","key":"61_CR17","DOI":"10.1109\/ICTAI.2016.0053"},{"key":"61_CR18","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.cviu.2014.03.012","volume":"124","author":"Z Lin","year":"2014","unstructured":"Lin, Z., Ding, G., Hu, M., Lin, Y., Sam Ge, S.: Image tag completion via dual-view linear sparse reconstructions. Comput. Vis. Image Underst. 124, 42\u201360 (2014)","journal-title":"Comput. Vis. Image Underst."},{"doi-asserted-by":"crossref","unstructured":"Lin, Z., Ding, G., Hu, M., Wang, J., Ye, X.: Image tag completion via image-specific and tag-specific linear sparse reconstructions. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1618\u20131625 (2013)","key":"61_CR19","DOI":"10.1109\/CVPR.2013.212"},{"key":"61_CR20","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1016\/j.patcog.2016.07.026","volume":"61","author":"A Lopes","year":"2017","unstructured":"Lopes, A., de Aguiar, E., De Souza, A., Oliveira-Santos, T.: Facial expression recognition with convolutional neural networks: coping with few data and the training sample order. Pattern Recogn. 61, 610\u2013628 (2017)","journal-title":"Pattern Recogn."},{"key":"61_CR21","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1016\/j.ultras.2016.09.011","volume":"73","author":"J Ma","year":"2017","unstructured":"Ma, J., Wu, F., Zhu, J., Xu, D., Kong, D.: A pre-trained convolutional neural network based method for thyroid nodule diagnosis. Ultrasonics 73, 221\u2013230 (2017)","journal-title":"Ultrasonics"},{"unstructured":"Mao, H., Liu, H., Shi, P.: Neighbor-constrained active contour without edges. In: Mathematical Methods in Biomedical Image Analysis, pp. 1\u20137 (2008)","key":"61_CR22"},{"doi-asserted-by":"crossref","unstructured":"Mao, H., Liu, H., Shi, P.: A convex neighbor-constrained active contour model for image segmentation, pp. 793\u2013796 (2010)","key":"61_CR23","DOI":"10.1109\/ICIP.2010.5652625"},{"doi-asserted-by":"crossref","unstructured":"Mo, W., Mohan, R., Li, W., Zhang, X., Sellke, E.W., Fan, W., DiMaio, J.M., Thatcher, J.E.: The importance of illumination in a non-contact photoplethysmography imaging system for burn wound assessment. In: SPIE BiOS, p. 93030M. International Society for Optics and Photonics (2015)","key":"61_CR24","DOI":"10.1117\/12.2080699"},{"doi-asserted-by":"crossref","unstructured":"Shen, W., Wang, J.: Transaction costs-aware portfolio optimization via fast l\u00f6wner-john ellipsoid approximation. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 1854\u20131860. AAAI Press (2015)","key":"61_CR25","DOI":"10.1609\/aaai.v29i1.9453"},{"unstructured":"Shen, W., Wang, J.: Portfolio blending via Thompson sampling. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, pp. 1983\u20131989. AAAI Press (2016)","key":"61_CR26"},{"doi-asserted-by":"crossref","unstructured":"Shen, W., Wang, J.: Portfolio selection via subset resampling. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence. AAAI Press (2017)","key":"61_CR27","DOI":"10.1609\/aaai.v31i1.10728"},{"unstructured":"Shen, W., Wang, J., Jiang, Y.G., Zha, H.: Portfolio choices with orthogonal bandit learning. In: Proceedings of the Twenty-Fourth International Conference on Artificial Intelligence, pp. 974\u2013980. AAAI Press (2015)","key":"61_CR28"},{"doi-asserted-by":"crossref","unstructured":"Shen, W., Wang, J., Ma, S.: Doubly regularized portfolio with risk minimization. In: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, pp. 1286\u20131292. AAAI Press (2014)","key":"61_CR29","DOI":"10.1609\/aaai.v28i1.8906"},{"key":"61_CR30","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1016\/j.patcog.2016.09.032","volume":"63","author":"B Shi","year":"2017","unstructured":"Shi, B., Chen, Y., Zhang, P., Smith, C.D., Liu, J., Initiative, A.D.N., et al.: Nonlinear feature transformation and deep fusion for alzheimer\u2019s disease staging analysis. Pattern Recogn. 63, 487\u2013498 (2017)","journal-title":"Pattern Recogn."},{"key":"61_CR31","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.neucom.2015.04.123","volume":"181","author":"M Tan","year":"2016","unstructured":"Tan, M., Hu, Z., Wang, B., Zhao, J., Wang, Y.: Robust object recognition via weakly supervised metric and template learning. Neurocomputing 181, 96\u2013107 (2016)","journal-title":"Neurocomputing"},{"issue":"1","key":"61_CR32","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1097\/BCR.0000000000000317","volume":"37","author":"JE Thatcher","year":"2016","unstructured":"Thatcher, J.E., Li, W., Rodriguez-Vaqueiro, Y., Squiers, J.J., Mo, W., Lu, Y., Plant, K.D., Sellke, E., King, D.R., Fan, W., et al.: Multispectral and photoplethysmography optical imaging techniques identify important tissue characteristics in an animal model of tangential burn excision. J. Burn Care Res. 37(1), 38\u201352 (2016)","journal-title":"J. Burn Care Res."},{"issue":"3","key":"61_CR33","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1109\/TPAMI.2012.124","volume":"35","author":"L Wu","year":"2013","unstructured":"Wu, L., Jin, R., Jain, A.: Tag completion for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 35(3), 716\u2013727 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"61_CR34","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1016\/j.neucom.2014.06.028","volume":"147","author":"Z Xia","year":"2015","unstructured":"Xia, Z., Feng, X., Peng, J., Wu, J., Fan, J.: A regularized optimization framework for tag completion and image retrieval. Neurocomputing 147(1), 500\u2013508 (2015)","journal-title":"Neurocomputing"},{"key":"61_CR35","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1016\/j.media.2016.08.004","volume":"35","author":"W Yang","year":"2017","unstructured":"Yang, W., Chen, Y., Liu, Y., Zhong, L., Qin, G., Lu, Z., Feng, Q., Chen, W.: Cascade of multi-scale convolutional neural networks for bone suppression of chest radiographs in gradient domain. Med. Image Anal. 35, 421\u2013433 (2017)","journal-title":"Med. Image Anal."},{"issue":"8","key":"61_CR36","doi-asserted-by":"publisher","first-page":"2407","DOI":"10.1007\/s00521-015-1983-z","volume":"27","author":"X Yang","year":"2016","unstructured":"Yang, X., Yang, F.: Completing tags by local learning: a novel image tag completion method based on neighborhood tag vector predictor. Neural Comput. Appl. 27(8), 2407\u20132416 (2016)","journal-title":"Neural Comput. Appl."},{"doi-asserted-by":"crossref","unstructured":"Zhang, P., Kong, X.: Detecting image tampering using feature fusion. In: International Conference on Availability, Reliability and Security, ARES 2009, pp. 335\u2013340. IEEE (2009)","key":"61_CR37","DOI":"10.1109\/ARES.2009.150"},{"doi-asserted-by":"crossref","unstructured":"Zhang, P., Shi, B., Smith, C.D., Liu, J.: Nonlinear metric learning for semi-supervised learning via coherent point drifting. In: 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 314\u2013319. IEEE (2016)","key":"61_CR38","DOI":"10.1109\/ICMLA.2016.0058"},{"issue":"6","key":"61_CR39","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.1007\/s11390-012-1289-x","volume":"27","author":"JY Zhao","year":"2012","unstructured":"Zhao, J.Y., Tang, M., Tong, R.F.: Connectivity-based segmentation for GPU-accelerated mesh decompression. J. Comput. Sci. Technol. 27(6), 1110\u20131118 (2012)","journal-title":"J. Comput. Sci. Technol."}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2017"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68612-7_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T05:10:00Z","timestamp":1659676200000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68612-7_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319686110","9783319686127"],"references-count":39,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68612-7_61","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"25 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}