{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:15:38Z","timestamp":1740132938321,"version":"3.37.3"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2016,4,1]],"date-time":"2016-04-01T00:00:00Z","timestamp":1459468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61532011","61473092","61472088"],"award-info":[{"award-number":["61532011","61473092","61472088"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National High Technology Research and Development Program of China","award":["2015AA015408"],"award-info":[{"award-number":["2015AA015408"]}]},{"name":"Shanghai Science and Technology Development Funds","award":["13dz226020013511504300"],"award-info":[{"award-number":["13dz226020013511504300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2016,4,1]]},"DOI":"10.1109\/tkde.2015.2507127","type":"journal-article","created":{"date-parts":[[2015,12,9]],"date-time":"2015-12-09T20:28:19Z","timestamp":1449692899000},"page":"845-857","source":"Crossref","is-referenced-by-count":6,"title":["A Mixed Generative-Discriminative Based Hashing Method"],"prefix":"10.1109","volume":"28","author":[{"given":"Qi","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jin","family":"Qian","sequence":"additional","affiliation":[]},{"given":"Xuanjing","family":"Huang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"353","article-title":"Minimal loss hashing for compact binary codes","author":"norouzi","year":"0","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-014-5237-y"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref32","first-page":"1196","article-title":"Angular quantization-based binary codes for fast similarity search","author":"gong","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526721"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835562"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339678"},{"key":"ref36","article-title":"Spectral hashing","author":"weiss","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","first-page":"49","article-title":"Learning binary hash codes for large-scale image search","author":"grauman","year":"0","journal-title":"Proc Mach Learn Comput Vis"},{"key":"ref34","first-page":"1042","article-title":"Learning to hash with binary reconstructive embeddings","author":"kulis","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011139631724"},{"key":"ref62","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"volume":"34","journal-title":"IEEE Trans Pattern Anal Mach Intell","year":"2011","key":"ref63"},{"key":"ref28","first-page":"605","article-title":"Improved robustness of signature-based near-replica detection via lexicon randomization","author":"ko?cz","year":"0","journal-title":"Proc ACM SIGKDD Int Conf Knowl Discovery Data Mining"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1162\/0899766041732396"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/506309.506311"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1390334.1390432"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.193"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.267"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2502081.2502180"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2181343"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654975"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SEQUEN.1997.666900"},{"key":"ref23","article-title":"Deep visual-semantic alignments for generating image descriptions","author":"karpathy","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref26","first-page":"563","article-title":"Spotsigs: Robust and efficient near duplicate detection in large web collections","author":"theobald","year":"0","journal-title":"Proc 31st Annu Int ACM SIGIR Conf Res Develop Inf Retrieval"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45123-4_1"},{"key":"ref50","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540120"},{"journal-title":"Methods of Information Geometry","year":"2000","author":"amari","key":"ref58"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1137\/1026034"},{"journal-title":"Riemannian Geometry and Geometric Analysis","year":"2008","author":"jost","key":"ref56"},{"key":"ref55","first-page":"873","article-title":"Improving word representations via global context and multiple word prototypes","author":"huang","year":"0","journal-title":"Proc 50th Annu Meeting Assoc Comput Ling"},{"key":"ref54","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"0","journal-title":"Proc ICLR Workshop"},{"key":"ref53","first-page":"140","article-title":"Convolutional learning of spatio-temporal features","author":"taylor","year":"0","journal-title":"Proc Computer Vision"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553453"},{"key":"ref10","article-title":"Mining associated text and images with dual-wing harmoniums","author":"xing","year":"0","journal-title":"Proc 21st Conf Uncertainty Artif Intell"},{"key":"ref11","article-title":"Multimodal deep learning","author":"ngiam","year":"0","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835455"},{"key":"ref12","first-page":"2222","article-title":"Multimodal learning with deep boltzmann machines","author":"salakhutdinov","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609610"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609563"},{"key":"ref15","first-page":"1360","article-title":"Learning hash functions for cross-view similarity search","author":"kumar","year":"0","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372094"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609597"},{"key":"ref18","first-page":"487","article-title":"Exploiting generative models in discriminative classifiers","author":"jaakkola","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465274"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609568"},{"key":"ref6","first-page":"2177","article-title":"Large-scale supervised multimodal hashing with semantic correlation maximization","author":"zhang","year":"0","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref5","first-page":"2754","article-title":"Parametric local multimodal hashing for cross-view similarity search","author":"zhai","year":"0","journal-title":"Proc 23rd Int Joint Conf Artif Intell"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2006.312707"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-006-0020-y"},{"key":"ref49","first-page":"142","article-title":"Learning word vectors for sentiment analysis","author":"maas","year":"0","journal-title":"Proc 49th Annu Meeting Assoc Comput Linguist Human Lang Technol"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2008.917359"},{"key":"ref46","first-page":"801","article-title":"Dynamic pooling and unfolding recursive autoencoders for paraphrase detection","author":"socher","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","article-title":"Recurrent neural network based language model","author":"mikolov","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref48","first-page":"1137","article-title":"A neural probabilistic language model","volume":"3","author":"bengio","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref47","first-page":"384","article-title":"Word representations: A simple and general method for semi-supervised learning","author":"turian","year":"0","journal-title":"Proc 48th Annu Meeting Assoc Comput Linguist"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/BF00114844"},{"key":"ref41","first-page":"127","article-title":"Joint learning of words and meaning representations for open-text semantic parsing","author":"bordes","year":"0","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref44","article-title":"Discovering binary codes for documents by learning deep generative models","author":"hinton","year":"2010","journal-title":"Topics Cognitive Sci"},{"key":"ref43","article-title":"Learning distributed representations of concepts","author":"hinton","year":"0","journal-title":"Proc 8th Annu Conf Cognitive Sci Soc"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/7426466\/7350158.pdf?arnumber=7350158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:48:13Z","timestamp":1641988093000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7350158\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,1]]},"references-count":64,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2015.2507127","relation":{},"ISSN":["1041-4347"],"issn-type":[{"type":"print","value":"1041-4347"}],"subject":[],"published":{"date-parts":[[2016,4,1]]}}}