{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:28:36Z","timestamp":1740122916931,"version":"3.37.3"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2017,6,29]],"date-time":"2017-06-29T00:00:00Z","timestamp":1498694400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61471297"],"award-info":[{"award-number":["61471297"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Shaanxi Province, China","award":["2015JM6287"],"award-info":[{"award-number":["2015JM6287"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1007\/s11042-017-4951-z","type":"journal-article","created":{"date-parts":[[2017,6,29]],"date-time":"2017-06-29T16:34:25Z","timestamp":1498754065000},"page":"13343-13361","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["VBI-MRF model for image segmentation"],"prefix":"10.1007","volume":"77","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9273-2847","authenticated-orcid":false,"given":"Yong","family":"Xia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhe","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,6,29]]},"reference":[{"issue":"12","key":"4951_CR1","doi-asserted-by":"crossref","first-page":"5764","DOI":"10.1109\/TIP.2015.2488900","volume":"24","author":"A Banerjee","year":"2015","unstructured":"Banerjee A, Maji P (2015) Rough sets and stomped normal distribution for simultaneous segmentation and bias field correction in brain mr images. IEEE Trans Image Process 24(12):5764\u20135776","journal-title":"IEEE Trans Image Process"},{"key":"4951_CR2","unstructured":"Bishop CM (2006) Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc"},{"key":"4951_CR3","unstructured":"Brodatz P (1976). Land, sea, and sky : a photographic album for artists and designers. Dover Publications"},{"issue":"9","key":"4951_CR4","doi-asserted-by":"crossref","first-page":"2254","DOI":"10.1109\/TIP.2010.2047164","volume":"19","author":"S Chen","year":"2010","unstructured":"Chen S, Cao L, Wang Y, Liu J, Tang X (2010) Image segmentation by map-ml estimations. IEEE Trans Image Process Publ IEEE Signal Process Soc 19(9):2254\u20132264","journal-title":"IEEE Trans Image Process Publ IEEE Signal Process Soc"},{"issue":"10","key":"4951_CR5","doi-asserted-by":"crossref","first-page":"1731","DOI":"10.1109\/83.869185","volume":"9","author":"ML Comer","year":"2000","unstructured":"Comer ML, Delp EJ (2000) The em\/mpm algorithm for segmentation of textured images: analysis and further experimental results. IEEE Trans Image Process 9(10):1731\u20131744","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"4951_CR6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via Em algorithm. J R Stat Soc Ser B-Methodol 39(1):1\u201338","journal-title":"J R Stat Soc Ser B-Methodol"},{"issue":"12","key":"4951_CR7","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1016\/S0031-3203(04)00195-5","volume":"37","author":"H Deng","year":"2004","unstructured":"Deng H, Clausi DA (2004) Unsupervised image segmentation using a simple mrf model with a new implementation scheme. Pattern Recogn 37(12):2323\u20132335","journal-title":"Pattern Recogn"},{"issue":"2","key":"4951_CR8","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1109\/TIP.2013.2295755","volume":"23","author":"A Depeursinge","year":"2014","unstructured":"Depeursinge A, Foncubiertarodriguez A, Van DVD, Muller H (2014) Rotation-covariant texture learning using steerable riesz wavelets. IEEE Trans Image Process Publ IEEE Signal Process Soc 23(2):898\u2013908","journal-title":"IEEE Trans Image Process Publ IEEE Signal Process Soc"},{"key":"4951_CR9","doi-asserted-by":"crossref","unstructured":"Donoser M, Riemenschneider H, & Bischof H (2010) Linked edges as stable region boundaries. IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, Ca, Usa, 13\u201318 June (Vol.23, pp.1665\u20131672). DBLP","DOI":"10.1109\/CVPR.2010.5539833"},{"issue":"1","key":"4951_CR10","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1109\/TIP.2012.2204270","volume":"22","author":"O Eches","year":"2012","unstructured":"Eches O, Benediktsson JA, Dobigeon N, Tourneret JY (2012) Adaptive markov random fields for joint unmixing and segmentation of hyperspectral images. IEEE Trans Image Process 22(1):5\u201316","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"4951_CR11","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1109\/TGRS.2005.849059","volume":"43","author":"AA Farag","year":"2005","unstructured":"Farag AA, Mohamed RM, El-Baz A (2005) A unified framework for map estimation in remote sensing image segmentation. IEEE Trans Geosci Remote Sens 43(7):1617\u20131634","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"3","key":"4951_CR12","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1109\/34.990138","volume":"24","author":"MAT Figueiredo","year":"2002","unstructured":"Figueiredo MAT, Jain AK (2002) Unsupervised learning of finite mixture models. IEEE Trans Pattern Anal Mach Intell 24(3):381\u2013396","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"4951_CR13","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/BF00204594","volume":"61","author":"I Fogel","year":"1989","unstructured":"Fogel I, Sagi D (1989) Gabor filters as texture discriminator. Biol Cybern 61(2):103\u2013113","journal-title":"Biol Cybern"},{"issue":"1","key":"4951_CR14","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0031-3203(81)90028-5","volume":"13","author":"KS Fu","year":"1981","unstructured":"Fu KS, Mui JK (1981) A survey on image segmentation \u2606. Pattern Recogn 13(1):3\u201316","journal-title":"Pattern Recogn"},{"issue":"6","key":"4951_CR15","first-page":"564","volume":"PAMI-6","author":"S Geman","year":"1987","unstructured":"Geman S, Geman D (1987) Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. IEEE Trans Pattern Anal Mach Intell PAMI-6(6):564\u2013584","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"6","key":"4951_CR16","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"smc-3","author":"RM Haralick","year":"1973","unstructured":"Haralick RM, Shanmugam K, Dinstein I (1973) Textural features for image classification. IEEE Trans Syst Man Cybern smc-3(6):610\u2013621","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"6","key":"4951_CR17","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1109\/TMI.2008.2012036","volume":"28","author":"M Hatt","year":"2009","unstructured":"Hatt M, Cheze LRC, Turzo A, Roux C, Visvikis D (2009) A fuzzy locally adaptive bayesian segmentation approach for volume determination in pet. IEEE Trans Med Imaging 28(6):881\u2013893","journal-title":"IEEE Trans Med Imaging"},{"issue":"10","key":"4951_CR18","doi-asserted-by":"crossref","first-page":"2737","DOI":"10.1109\/TIP.2010.2048965","volume":"19","author":"A Huang","year":"2010","unstructured":"Huang A, Abugharbieh R, Tam R (2010) A novel rotationally invariant region-based hidden markov model for efficient 3-d image segmentation. IEEE Trans Image Process 19(10):2737\u20132748","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"4951_CR19","doi-asserted-by":"crossref","first-page":"4929","DOI":"10.1109\/JSTARS.2014.2308531","volume":"7","author":"J Ji","year":"2015","unstructured":"Ji J, Wang KL (2015) A robust nonlocal fuzzy clustering algorithm with between-cluster separation measure for sar image segmentation. IEEE J Sel Top Appl Earth Obs Remote Sens 7(12):4929\u20134936","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"issue":"2","key":"4951_CR20","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1016\/j.cmpb.2011.10.010","volume":"108","author":"Z Ji","year":"2012","unstructured":"Ji Z, Sun Q, Xia Y, Chen Q, Xia D, Feng D (2012) Generalized rough fuzzy c-means algorithm for brain mr image segmentation. Comput Methods Prog Biomed 108(2):644\u2013655","journal-title":"Comput Methods Prog Biomed"},{"issue":"6","key":"4951_CR21","doi-asserted-by":"crossref","first-page":"1659","DOI":"10.1016\/j.asoc.2012.02.010","volume":"12","author":"Z Ji","year":"2012","unstructured":"Ji Z, Xia Y, Chen Q, Sun Q, Xia D, Feng DD (2012) Fuzzy c-means clustering with weighted image patch for image segmentation. Appl Soft Comput 12(6):1659\u20131667","journal-title":"Appl Soft Comput"},{"issue":"3","key":"4951_CR22","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.neucom.2012.12.067","volume":"134","author":"Z Ji","year":"2014","unstructured":"Ji Z, Xia Y, Sun Q, Chen Q, Feng D (2014) Adaptive scale fuzzy local gaussian mixture model for brain mr image segmentation. Neurocomputing 134(3):60\u201369","journal-title":"Neurocomputing"},{"issue":"4","key":"4951_CR23","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1007\/BF00133570","volume":"1","author":"M Kass","year":"1988","unstructured":"Kass M, Witkin A, Terzopoulos D (1988) Snakes: active contour models. Int J Comput Vis 1(4):321\u2013331","journal-title":"Int J Comput Vis"},{"key":"4951_CR24","unstructured":"Kr\u00e4henb\u00fchl P, & Koltun V (2012) Efficient inference in fully connected crfs with gaussian edge potentials. Conference and Workshop on Neural Information Processing Systems 109\u2013117"},{"issue":"7","key":"4951_CR25","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1109\/TIP.2009.2018002","volume":"18","author":"M Krinidis","year":"2009","unstructured":"Krinidis M, Pitas I (2009) Color texture segmentation based on the modal energy of deformable surfaces. IEEE Trans Image Process 18(7):1613\u20131622","journal-title":"IEEE Trans Image Process"},{"key":"4951_CR26","doi-asserted-by":"crossref","unstructured":"Kuusela M, Raiko T, Honkela A, & Karhunen J (2009) A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, Usa, 14\u201319 June (pp.1688\u20131695)","DOI":"10.1109\/IJCNN.2009.5178726"},{"issue":"03","key":"4951_CR27","first-page":"473","volume":"21","author":"SZ Li","year":"1970","unstructured":"Li SZ (1970) Modeling image analysis problems using markov random fields. Handb Stat 21(03):473\u2013513","journal-title":"Handb Stat"},{"key":"4951_CR28","unstructured":"Li SZ (2009). Markov random field modeling in image analysis. Springer London"},{"key":"4951_CR29","doi-asserted-by":"crossref","unstructured":"Li Z, Liu Q, Cheng J, & Lu H (2008) A variational inference based approach for image segmentation. International Conference on Pattern Recognition (pp.1\u20134)","DOI":"10.1109\/ICPR.2008.4761226"},{"issue":"12","key":"4951_CR30","first-page":"3243","volume":"19","author":"C Li","year":"2010","unstructured":"Li C, Xu C, Gui C, Fox MD (2010) Distance regularized level set evolution and its application to image segmentation. IEEE Trans Image Process Publ IEEE Signal Process Soc 19(12):3243","journal-title":"IEEE Trans Image Process Publ IEEE Signal Process Soc"},{"issue":"11","key":"4951_CR31","doi-asserted-by":"crossref","first-page":"3990","DOI":"10.1109\/TIP.2015.2456505","volume":"24","author":"G Liu","year":"2015","unstructured":"Liu G, Zhang Y, Wang A (2015) Incorporating adaptive local information into fuzzy clustering for image segmentation. IEEE Trans Image Process Publ IEEE Signal Process Soc 24(11):3990\u20134000","journal-title":"IEEE Trans Image Process Publ IEEE Signal Process Soc"},{"issue":"5","key":"4951_CR32","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1109\/34.134046","volume":"13","author":"BS Manjunath","year":"1991","unstructured":"Manjunath BS, Chellappa R (1991) Unsupervised texture segmentation using markov random field models. IEEE Trans Pattern Anal Mach Intell 13(5):478\u2013482","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1167","key":"4951_CR33","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1098\/rspb.1980.0020","volume":"207","author":"D Marr","year":"1979","unstructured":"Marr D, Hildreth E (1979) Theory of edge detection. Proc R Soc Lond 207(1167):187\u2013217","journal-title":"Proc R Soc Lond"},{"issue":"397","key":"4951_CR34","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1080\/01621459.1987.10478393","volume":"82","author":"J Marroquin","year":"1987","unstructured":"Marroquin J, Mitter S, Poggio T (1987) Probabilistic solution of ill-posed problems in computational vision. J Am Stat Assoc 82(397):76\u201389","journal-title":"J Am Stat Assoc"},{"issue":"11","key":"4951_CR35","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1109\/TPAMI.2003.1240112","volume":"25","author":"JL Marroquin","year":"2003","unstructured":"Marroquin JL, Santana EA, Botello S (2003) Hidden markov measure field models for image segmentation. IEEE Trans Pattern Anal Mach Intell 25(11):1380\u20131387","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"4951_CR36","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1109\/TSMCB.2006.872273","volume":"36","author":"N Nasios","year":"2006","unstructured":"Nasios N, Bors AG (2006) Variational learning for gaussian mixture models. IEEE Trans Syst Man Cybern Part B Cybern Publ IEEE Syst Man Cybern Soc 36(4):849\u2013862","journal-title":"IEEE Trans Syst Man Cybern Part B Cybern Publ IEEE Syst Man Cybern Soc"},{"issue":"4","key":"4951_CR37","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1109\/TCSVT.2012.2211176","volume":"23","author":"TM Nguyen","year":"2013","unstructured":"Nguyen TM, Wu QMJ (2013) Fast and robust spatially constrained Gaussian mixture model for image segmentation. IEEE Trans Circuits Syst Video Technol 23(4):621\u2013635","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"9","key":"4951_CR38","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1016\/0031-3203(93)90135-J","volume":"26","author":"NR Pal","year":"1993","unstructured":"Pal NR, Pal SK (1993) A review on image segmentation techniques. Pattern Recogn 26(9):1277\u20131294","journal-title":"Pattern Recogn"},{"issue":"5","key":"4951_CR39","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1109\/PROC.1979.11323","volume":"67","author":"T Pavlidis","year":"1979","unstructured":"Pavlidis T (1979) Hierarchies in structural pattern recognition. Proc IEEE 67(5):737\u2013744","journal-title":"Proc IEEE"},{"issue":"10","key":"4951_CR40","doi-asserted-by":"crossref","first-page":"1986","DOI":"10.1109\/TMI.2014.2329019","volume":"33","author":"S Ribes","year":"2014","unstructured":"Ribes S, Didierlaurent D, Decoster N, Gonneau E, Risser L, Feillel V et al (2014) Automatic segmentation of breast mr images through a markov random field statistical model. Med Imaging IEEE Trans on 33(10):1986\u20131996","journal-title":"Med Imaging IEEE Trans on"},{"issue":"6","key":"4951_CR41","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/MSP.2008.929620","volume":"25","author":"DG Tzikas","year":"2008","unstructured":"Tzikas DG, Likas CL, Galatsanos NP (2008) The variational approximation for bayesian inference. Signal Process Mag IEEE 25(6):131\u2013146","journal-title":"Signal Process Mag IEEE"},{"issue":"3","key":"4951_CR42","doi-asserted-by":"crossref","first-page":"1465","DOI":"10.1109\/TIP.2016.2523340","volume":"25","author":"W Wang","year":"2016","unstructured":"Wang W, Yan Y, Winkler S, Sebe N (2016) Category specific dictionary learning for attribute specific feature selection. IEEE Trans Image Process Publ IEEE Signal Process Soc 25(3):1465\u20131478","journal-title":"IEEE Trans Image Process Publ IEEE Signal Process Soc"},{"issue":"4","key":"4951_CR43","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1109\/MMUL.2016.69","volume":"23","author":"W Wang","year":"2016","unstructured":"Wang W, Yan Y, Zhang L, Hong R, Sebe N (2016) Collaborative sparse coding for multiview action recognition. IEEE Multimed 23(4):80\u201387","journal-title":"IEEE Multimed"},{"key":"4951_CR44","doi-asserted-by":"crossref","unstructured":"Wang W, Cui Z, Yan Y, Feng J, Yan S, & Shu X, et al. (2016) Recurrent Face Aging. IEEE Conf Comput Vis Pattern Recognit :2378\u20132386","DOI":"10.1109\/CVPR.2016.261"},{"issue":"10","key":"4951_CR45","doi-asserted-by":"crossref","first-page":"1512","DOI":"10.1109\/TIP.2005.852199","volume":"14","author":"WCK Wong","year":"2005","unstructured":"Wong WCK, Chung ACS (2005) Bayesian image segmentation using local iso-intensity structural orientation. IEEE Trans Image Process 14(10):1512\u20131523","journal-title":"IEEE Trans Image Process"},{"key":"4951_CR46","first-page":"59","volume":"61","author":"Y Xia","year":"2014","unstructured":"Xia Y, Zhang Y (2014) Learning large number of local statistical models via variational Bayesian inference for brain voxel classification in magnetic resonance images. Int Conf Secur, Pattern Anal, Cybern 61:59\u201364","journal-title":"Int Conf Secur, Pattern Anal, Cybern"},{"issue":"15","key":"4951_CR47","first-page":"614","volume":"15","author":"Y Xia","year":"2006","unstructured":"Xia Y, Feng D, Zhao R (2006) Morphology-based multifractal estimation for texture segmentation. IEEE Trans Image Process Publ IEEE Signal Process Soc 15(15):614\u2013623","journal-title":"IEEE Trans Image Process Publ IEEE Signal Process Soc"},{"issue":"8","key":"4951_CR48","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1016\/j.patcog.2011.02.002","volume":"44","author":"Y Xiao","year":"2011","unstructured":"Xiao Y, Zeng T, Yu J, Ng MK (2011) Restoration of images corrupted by mixed gaussian-impulse noise via l1-l0 minimization. Pattern Recogn 44(8):1708\u20131720","journal-title":"Pattern Recogn"},{"issue":"5","key":"4951_CR49","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1109\/LSP.2014.2310494","volume":"21","author":"C Yan","year":"2011","unstructured":"Yan C et al (2011) A highly parallel framework for HEVC coding unit partitioning tree decision on many-core processors. IEEE Signal Process Lett 21(5):573\u2013576","journal-title":"IEEE Signal Process Lett"},{"key":"4951_CR50","first-page":"63","volume":"6","author":"C Yan","year":"2013","unstructured":"Yan C, Zhang Y, Dai F, Li L (2013) Highly parallel framework for HEVC motion estimation on many-Core platform. Data Compression Conf 6:63\u201372","journal-title":"Data Compression Conf"},{"issue":"5","key":"4951_CR51","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1049\/el.2013.3235","volume":"50","author":"C Yan","year":"2014","unstructured":"Yan C et al (2014) Parallel deblocking filter for HEVC on many-core processor. Electron Lett 50(5):367\u2013368","journal-title":"Electron Lett"},{"issue":"11","key":"4951_CR52","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1049\/el.2014.0611","volume":"50","author":"C Yan","year":"2014","unstructured":"Yan C et al (2014) Efficient parallel HEVC intra-prediction on many-core processor. Electron Lett 50(11):805\u2013806","journal-title":"Electron Lett"},{"issue":"12","key":"4951_CR53","doi-asserted-by":"crossref","first-page":"2077","DOI":"10.1109\/TCSVT.2014.2335852","volume":"24","author":"C Yan","year":"2014","unstructured":"Yan C et al (2014) Efficient parallel framework for HEVC motion estimation on many-Core processors. IEEE Trans Circuits Syst Video Technol 24(12):2077\u20132089","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"1","key":"4951_CR54","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y Zhang","year":"2001","unstructured":"Zhang Y, Brady M, Smith S (2001) Segmentation of brain mr images through a hidden markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 20(1):45\u201357","journal-title":"IEEE Trans Med Imaging"},{"issue":"6","key":"4951_CR55","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1109\/TPAMI.2007.1110","volume":"29","author":"G Zhao","year":"2007","unstructured":"Zhao G, Pietik\u00e4inen M (2007) Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans Pattern Anal Mach Intell 29(6):915\u2013928","journal-title":"IEEE Trans Pattern Anal Mach Intell"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-017-4951-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-4951-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-017-4951-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T02:47:53Z","timestamp":1719283673000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-017-4951-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,29]]},"references-count":55,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2018,6]]}},"alternative-id":["4951"],"URL":"https:\/\/doi.org\/10.1007\/s11042-017-4951-z","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2017,6,29]]}}}