{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T09:02:48Z","timestamp":1742806968052,"version":"3.37.3"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"21","license":[{"start":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T00:00:00Z","timestamp":1679356800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T00:00:00Z","timestamp":1679356800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1007\/s11042-023-14666-w","type":"journal-article","created":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T02:43:22Z","timestamp":1679885002000},"page":"33267-33284","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Expectation propagation learning of finite and infinite Gamma mixture models and its applications"],"prefix":"10.1007","volume":"82","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6638-7039","authenticated-orcid":false,"given":"Sami","family":"Bourouis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nizar","family":"Bouguila","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,21]]},"reference":[{"issue":"7","key":"14666_CR1","doi-asserted-by":"publisher","first-page":"2450","DOI":"10.3390\/s21072450","volume":"21","author":"F Alharithi","year":"2021","unstructured":"Alharithi F, Almulihi A, Bourouis S, Alroobaea R, Bouguila N (2021) Discriminative learning approach based on flexible mixture model for medical data categorization and recognition. Sensors 21(7):2450","journal-title":"Sensors"},{"issue":"15","key":"14666_CR2","doi-asserted-by":"publisher","first-page":"2991","DOI":"10.3390\/rs13152991","volume":"13","author":"A Almulihi","year":"2021","unstructured":"Almulihi A, Alharithi F, Bourouis S, Alroobaea R, Pawar Y, Bouguila N (2021) Oil spill detection in sar images using online extended variational learning of dirichlet process mixtures of gamma distributions. Remote Sens 13 (15):2991","journal-title":"Remote Sens"},{"issue":"1","key":"14666_CR3","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1016\/j.csda.2010.05.019","volume":"55","author":"JL Andrews","year":"2011","unstructured":"Andrews JL, McNicholas PD, Subedi S (2011) Model-based classification via mixtures of multivariate t-distributions. Comput Stat Data Anal 55 (1):520\u2013529","journal-title":"Comput Stat Data Anal"},{"issue":"3","key":"14666_CR4","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1080\/17517575.2018.1557256","volume":"13","author":"UA Bhatti","year":"2019","unstructured":"Bhatti UA, Huang M, Wu D, Zhang Y, Mehmood A, Han H (2019) Recommendation system using feature extraction and pattern recognition in clinical care systems. Enterprise Inform Syst 13(3):329\u2013351","journal-title":"Enterprise Inform Syst"},{"key":"14666_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2021.3090410","volume":"60","author":"UA Bhatti","year":"2022","unstructured":"Bhatti UA, Yu Z, Chanussot J, Zeeshan Z, Yuan L, Luo W, Nawaz SA, Bhatti MA, Ain QU, Mehmood A (2022) Local similarity-based spatial-spectral fusion hyperspectral image classification with deep CNN and gabor filtering. IEEE Trans Geosci Remote Sens 60:1\u201315","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"14666_CR6","doi-asserted-by":"publisher","first-page":"76386","DOI":"10.1109\/ACCESS.2020.2988298","volume":"8","author":"UA Bhatti","year":"2020","unstructured":"Bhatti UA, Yu Z, Li J, Nawaz SA, Mehmood A, Zhang K, Yuan L (2020) Hybrid watermarking algorithm using clifford algebra with arnold scrambling and chaotic encryption. IEEE Access 8:76386\u201376398","journal-title":"IEEE Access"},{"key":"14666_CR7","unstructured":"Bishop CM (2006) Pattern recognition and machine learning. Springer"},{"key":"14666_CR8","doi-asserted-by":"publisher","first-page":"71170","DOI":"10.1109\/ACCESS.2021.3078670","volume":"9","author":"S Bourouis","year":"2021","unstructured":"Bourouis S, Alroobaea R, Rubaiee S, Andejany M, Almansour FM, Bouguila N (2021) Markov chain monte carlo-based bayesian inference for learning finite and infinite inverted beta-liouville mixture models. IEEE Access 9:71170\u201371183","journal-title":"IEEE Access"},{"issue":"13","key":"14666_CR9","doi-asserted-by":"publisher","first-page":"5798","DOI":"10.3390\/app11135798","volume":"11","author":"S Bourouis","year":"2021","unstructured":"Bourouis S, Alroobaea R, Rubaiee S, Andejany M, Bouguila N (2021) Nonparametric bayesian learning of infinite multivariate generalized normal mixture models and its applications. Appl Sci 11(13):5798","journal-title":"Appl Sci"},{"issue":"4","key":"14666_CR10","doi-asserted-by":"publisher","first-page":"1989","DOI":"10.1002\/ima.22577","volume":"31","author":"S Bourouis","year":"2021","unstructured":"Bourouis S, Bouguila N (2021) Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis. Int J Imaging Syst Technol 31(4):1989\u20132002","journal-title":"Int J Imaging Syst Technol"},{"key":"14666_CR11","doi-asserted-by":"crossref","unstructured":"Bourouis S, Bouguila N (2022) Unsupervised learning using expectation propagation inference of inverted beta-liouville mixture models for pattern recognition applications. Cybern Syst, pp 1\u201325","DOI":"10.1080\/01969722.2022.2062850"},{"key":"14666_CR12","doi-asserted-by":"publisher","first-page":"13727","DOI":"10.1109\/ACCESS.2021.3051758","volume":"9","author":"S Bourouis","year":"2021","unstructured":"Bourouis S, Sallay H, Bouguila N (2021) A competitive generalized gamma mixture model for medical image diagnosis. IEEE Access 9:13727\u201313736","journal-title":"IEEE Access"},{"key":"14666_CR13","doi-asserted-by":"crossref","unstructured":"Channoufi I, Bourouis S, Bouguila N, Hamrouni K (2018) Spatially constrained mixture model with feature selection for image and video segmentation. In: Image and signal processing - 8th international conference, ICISP 2018, cherbourg, france, july 2-4, 2018, proceedings, pp 36\u201344","DOI":"10.1007\/978-3-319-94211-7_5"},{"key":"14666_CR14","unstructured":"Csurka G, Dance C, Fan L, Willamowski J, Bray C (2004) Visual categorization with bags of keypoints. In: Workshop on statistical learning in computer vision, ECCV, vol 1, pp 1\u20132"},{"key":"14666_CR15","doi-asserted-by":"publisher","first-page":"108073","DOI":"10.1016\/j.ijepes.2022.108073","volume":"139","author":"GF Fan","year":"2022","unstructured":"Fan GF, Zhang LZ, Yu M, Hong WC, Dong SQ (2022) Applications of random forest in multivariable response surface for short-term load forecasting. International Journal of Electrical Power and Energy Systems 139:108073","journal-title":"International Journal of Electrical Power and Energy Systems"},{"issue":"2","key":"14666_CR16","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/s11063-013-9293-x","volume":"39","author":"W Fan","year":"2014","unstructured":"Fan W, Bouguila N (2014) Non-gaussian data clustering via expectation propagation learning of finite dirichlet mixture models and applications. Neural Process Lett 39(2):115\u2013135","journal-title":"Neural Process Lett"},{"key":"14666_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.engappai.2015.03.016","volume":"43","author":"W Fan","year":"2015","unstructured":"Fan W, Bouguila N (2015) Expectation propagation learning of a dirichlet process mixture of beta-liouville distributions for proportional data clustering. Eng Appl Artif Intell 43:1\u201314","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"14666_CR18","doi-asserted-by":"publisher","first-page":"1271","DOI":"10.1016\/j.patcog.2013.09.023","volume":"47","author":"H Fang","year":"2014","unstructured":"Fang H, Parthal\u00e1in NM, Aubrey AJ, Tam GKL, Borgo R, Rosin PL, Grant PW, Marshall AD, Chen M (2014) Facial expression recognition in dynamic sequences: an integrated approach. Pattern Recognit 47(3):1271\u20131281","journal-title":"Pattern Recognit"},{"key":"14666_CR19","doi-asserted-by":"crossref","unstructured":"Ferguson TS (1983) Bayesian density estimation by mixtures of normal distributions. In: Recent advances in statistics. Academic Press, pp 287\u2013302","DOI":"10.1016\/B978-0-12-589320-6.50018-6"},{"issue":"1\/2","key":"14666_CR20","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1023\/A:1007617005950","volume":"42","author":"T Hofmann","year":"2001","unstructured":"Hofmann T (2001) Unsupervised learning by probabilistic latent semantic analysis. Mach Learn 42(1\/2):177\u2013196","journal-title":"Mach Learn"},{"key":"14666_CR21","doi-asserted-by":"crossref","unstructured":"Kim T, Wong S, Cipolla R (2007) Tensor canonical correlation analysis for action classification. In: 2007 IEEE Computer society conference on computer vision and pattern recognition (CVPR 2007), 18-23 june. IEEE Computer Society, Minneapolis, Minnesota, USA, p 2007","DOI":"10.1109\/CVPR.2007.383137"},{"key":"14666_CR22","doi-asserted-by":"crossref","unstructured":"Laptev I, Marszalek M, Schmid C, Rozenfeld B (2008) Learning realistic human actions from movies. In: 2008 IEEE Computer society conference on computer vision and pattern recognition (CVPR 2008), 24-26 june, 2008. IEEE Computer Society, Anchorage, Alaska, USA","DOI":"10.1109\/CVPR.2008.4587756"},{"key":"14666_CR23","doi-asserted-by":"crossref","unstructured":"Li J, Huang S, Zhang X, Fu X, Chang CC, Tang Z, Luo Z (2018) Facial expression recognition by transfer learning for small datasets. In: International conference on security with intelligent computing and big-data services. Springer, pp 756\u2013770","DOI":"10.1007\/978-3-030-16946-6_62"},{"key":"14666_CR24","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.neucom.2020.06.014","volume":"411","author":"J Li","year":"2020","unstructured":"Li J, Jin K, Zhou D, Kubota N, Ju Z (2020) Attention mechanism-based CNN for facial expression recognition. Neurocomputing 411:340\u2013350","journal-title":"Neurocomputing"},{"issue":"2","key":"14666_CR25","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1016\/j.patcog.2007.06.004","volume":"41","author":"X Liu","year":"2008","unstructured":"Liu X, Fu H, Jia Y (2008) Gaussian mixture modeling and learning of neighboring characters for multilingual text extraction in images. Pattern Recognit 41(2):484\u2013493","journal-title":"Pattern Recognit"},{"key":"14666_CR26","doi-asserted-by":"publisher","first-page":"108105","DOI":"10.1016\/j.patcog.2021.108105","volume":"119","author":"X Liu","year":"2021","unstructured":"Liu X, Jin L, Han X, You J (2021) Mutual information regularized identity-aware facial expression recognition in compressed video. Pattern Recogn 119:108105","journal-title":"Pattern Recogn"},{"key":"14666_CR27","doi-asserted-by":"crossref","unstructured":"Lucey P, Cohn JF, Kanade T, Saragih JM, Ambadar Z, Matthews IA (2010) The extended cohn-kanade dataset (CK+): a complete dataset for action unit and emotion-specified expression. In: IEEE Conference on computer vision and pattern recognition, CVPR workshops 2010, san francisco, CA, USA, 13-18 June, 2010. IEEE Computer Society, pp 94\u2013101","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"14666_CR28","doi-asserted-by":"crossref","unstructured":"Ma Z, Leijon A (2010) Expectation propagation for estimating the parameters of the beta distribution. In: Proceedings of the IEEE international conference on acoustics, speech, and signal processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA. pp 2082\u20132085. IEEE","DOI":"10.1109\/ICASSP.2010.5495085"},{"key":"14666_CR29","doi-asserted-by":"crossref","unstructured":"Mahmoudi MA, Chetouani A, Boufera F, Tabia H (2020) Learnable pooling weights for facial expression recognition. Pattern Recognit Lett, 138","DOI":"10.1016\/j.patrec.2020.09.001"},{"key":"14666_CR30","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.neucom.2021.02.074","volume":"443","author":"F Marcolin","year":"2021","unstructured":"Marcolin F, Vezzetti E, Monaci MG (2021) Face perception foundations for pattern recognition algorithms. Neurocomputing 443:302\u2013319","journal-title":"Neurocomputing"},{"key":"14666_CR31","unstructured":"Maybeck PS (1982) Stochastic models, estimation, and control. Academic Press"},{"key":"14666_CR32","unstructured":"McLachlan GJ, Peel D (2004) Finite mixture models. John Wiley & Sons"},{"issue":"3","key":"14666_CR33","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/s00357-016-9211-9","volume":"33","author":"PD McNicholas","year":"2016","unstructured":"McNicholas PD (2016) Model-based clustering. J Classif 33(3):331\u2013373","journal-title":"J Classif"},{"key":"14666_CR34","unstructured":"Minka TP (2001) Expectation propagation for approximate bayesian inference. In: Breese JS, Koller D (eds) UAI \u201901: Proceedings of the 17th conference in uncertainty in artificial intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001. Morgan Kaufmann, pp 362\u2013369"},{"issue":"13","key":"14666_CR35","doi-asserted-by":"publisher","first-page":"18669","DOI":"10.1007\/s11042-018-7116-9","volume":"78","author":"F Najar","year":"2019","unstructured":"Najar F, Bourouis S, Bouguila N, Belghith S (2019) Unsupervised learning of finite full covariance multivariate generalized gaussian mixture models for human activity recognition. Multim Tools Appl 78(13):18669\u201318691","journal-title":"Multim Tools Appl"},{"issue":"14","key":"14666_CR36","doi-asserted-by":"publisher","first-page":"10611","DOI":"10.1007\/s00500-019-04567-2","volume":"24","author":"F Najar","year":"2020","unstructured":"Najar F, Bourouis S, Bouguila N, Belghith S (2020) A new hybrid discriminative\/generative model using the full-covariance multivariate generalized gaussian mixture models. Soft Comput 24(14):10611\u201310628","journal-title":"Soft Comput"},{"key":"14666_CR37","doi-asserted-by":"crossref","unstructured":"Najar F, Bourouis S, Zaguia A, Bouguila N, Belghith S (2018) Unsupervised human action categorization using a riemannian averaged fixed-point learning of multivariate GGMM. In: Image analysis and recognition - 15th international conference, ICIAR 2018, p\u00f3voa de varzim, portugal, june 27-29, 2018, proceedings. pp 408\u2013415","DOI":"10.1007\/978-3-319-93000-8_46"},{"issue":"3","key":"14666_CR38","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s11263-007-0122-4","volume":"79","author":"JC Niebles","year":"2008","unstructured":"Niebles JC, Wang H, Li F (2008) Unsupervised learning of human action categories using spatial-temporal words. Int J Comput Vis 79(3):299\u2013318","journal-title":"Int J Comput Vis"},{"key":"14666_CR39","doi-asserted-by":"crossref","unstructured":"Peng X, Xia Z, Li L, Feng X (2016) Towards facial expression recognition in the wild: a new database and deep recognition system. In: 2016 IEEE Conference on computer vision and pattern recognition workshops, CVPR workshops 2016, las vegas, NV, USA, June 26 - July 1, 2016. IEEE Computer Society, pp 1544\u20131550","DOI":"10.1109\/CVPRW.2016.192"},{"key":"14666_CR40","doi-asserted-by":"crossref","unstructured":"Rodriguez MD, Ahmed J, Shah M (2008) Action MACH a spatio-temporal maximum average correlation height filter for action recognition. In: 2008 IEEE Computer society conference on computer vision and pattern recognition (CVPR 2008), 24-26 june, 2008. Anchorage, Alaska, USA, IEEE Computer Society","DOI":"10.1109\/CVPR.2008.4587727"},{"issue":"1","key":"14666_CR41","doi-asserted-by":"publisher","first-page":"6","DOI":"10.3390\/computers10010006","volume":"10","author":"H Sallay","year":"2021","unstructured":"Sallay H, Bourouis S, Bouguila N (2021) Online learning of finite and infinite gamma mixture models for COVID-19 detection in medical images. Comput 10(1):6","journal-title":"Comput"},{"issue":"4","key":"14666_CR42","doi-asserted-by":"publisher","first-page":"1965","DOI":"10.1109\/TIP.2017.2662237","volume":"26","author":"E Sariyanidi","year":"2017","unstructured":"Sariyanidi E, Gunes H, Cavallaro A (2017) Learning bases of activity for facial expression recognition. IEEE Trans Image Process 26(4):1965\u20131978","journal-title":"IEEE Trans Image Process"},{"key":"14666_CR43","doi-asserted-by":"crossref","unstructured":"Schuldt C, Laptev I, Caputo B (2004) Recognizing human actions: a local svm approach. In: Proceedings of the 17th international conference on pattern recognition, 2004. ICPR 2004, vol 3. IEEE, pp 32\u201336","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"14666_CR44","doi-asserted-by":"crossref","unstructured":"Schu\u0307ldt C., Laptev I, Caputo B (2004) Recognizing human actions: a local SVM approach. In: 17Th international conference on pattern recognition, ICPR 2004, cambridge, UK, August 23-26, 2004. IEEE Computer Society, pp 32\u201336","DOI":"10.1109\/ICPR.2004.1334462"},{"key":"14666_CR45","doi-asserted-by":"crossref","unstructured":"Scovanner P, Ali S, Shah M (2007) A 3-dimensional sift descriptor and its application to action recognition. In: Proceedings of the 15th ACM international conference on Multimedia. ACM, pp 357\u2013360","DOI":"10.1145\/1291233.1291311"},{"key":"14666_CR46","unstructured":"Sethuraman J (1994) A constructive definition of dirichlet priors. Statistica sinica, pp 639\u2013650"},{"issue":"6","key":"14666_CR47","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1016\/j.imavis.2008.08.005","volume":"27","author":"C Shan","year":"2009","unstructured":"Shan C, Gong S, McOwan PW (2009) Facial expression recognition based on local binary patterns: A comprehensive study. Image Vis Comput 27 (6):803\u2013816","journal-title":"Image Vis Comput"},{"key":"14666_CR48","doi-asserted-by":"crossref","unstructured":"Sikka K, Wu T, Susskind J, Bartlett MS (2012) Exploring bag of words architectures in the facial expression domain. In: Fusiello A, Murino V, Cucchiara R (eds) Computer vision - ECCV 2012. Workshops and demonstrations - florence, italy, october 7-13, 2012, proceedings, Part II. Lecture notes in computer science, vol 7584. Springer, pp 250\u2013259","DOI":"10.1007\/978-3-642-33868-7_25"},{"key":"14666_CR49","doi-asserted-by":"publisher","first-page":"102829","DOI":"10.1016\/j.dsp.2020.102829","volume":"106","author":"Z Song","year":"2020","unstructured":"Song Z, Ali S, Bouguila N, Fan W (2020) Nonparametric hierarchical mixture models based on asymmetric gaussian distribution. Digit Signal Process 106:102829","journal-title":"Digit Signal Process"},{"key":"14666_CR50","first-page":"280","volume-title":"Dirichlet Process","author":"YW Teh","year":"2010","unstructured":"Teh YW (2010) Dirichlet Process. Springer, US, Boston, MA, pp 280\u2013287"},{"key":"14666_CR51","doi-asserted-by":"crossref","unstructured":"Vedaldi A, Fulkerson B (2010) Vlfeat: an open and portable library of computer vision algorithms. In: Bimbo AD, Chang S, Smeulders AWM (eds) Proceedings of the 18th international conference on multimedia 2010, Firenze, Italy, October 25-29, 2010. ACM, pp 1469\u20131472","DOI":"10.1145\/1873951.1874249"},{"key":"14666_CR52","doi-asserted-by":"publisher","first-page":"28","DOI":"10.3389\/frobt.2015.00028","volume":"2","author":"M Vrigkas","year":"2015","unstructured":"Vrigkas M, Nikou C, Kakadiaris IA (2015) A review of human activity recognition methods. Frontiers in Robotics and AI 2:28","journal-title":"Frontiers in Robotics and AI"},{"key":"14666_CR53","doi-asserted-by":"crossref","unstructured":"Wong S, Cipolla R (2007) Extracting spatiotemporal interest points using global information. In: IEEE 11Th international conference on computer vision, ICCV 2007, rio de janeiro, brazil, october 14-20, 2007. IEEE Computer Society, pp 1\u20138","DOI":"10.1109\/ICCV.2007.4408923"},{"issue":"4","key":"14666_CR54","doi-asserted-by":"publisher","first-page":"1428","DOI":"10.3390\/app11041428","volume":"11","author":"H Wu","year":"2021","unstructured":"Wu H, Lu Z, Zhang J, Li X, Zhao M, Ding X (2021) Facial expression recognition based on multi-features cooperative deep convolutional network. Appl Sci 11(4):1428","journal-title":"Appl Sci"},{"key":"14666_CR55","doi-asserted-by":"crossref","unstructured":"Zeng C, Liu J, Li J, Cheng J, Zhou J, Nawaz SA, Xiao X, Bhatti UA (2022) Multi-watermarking algorithm for medical image based on kaze-dct. Journal of Ambient Intelligence and Humanized Computing, PP 1\u20139","DOI":"10.1007\/s12652-021-03539-5"},{"key":"14666_CR56","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.neucom.2020.05.081","volume":"409","author":"Z Zhang","year":"2020","unstructured":"Zhang Z, Lai C, Liu H, Li Y (2020) Infrared facial expression recognition via gaussian-based label distribution learning in the dark illumination environment for human emotion detection. Neurocomputing 409:341\u2013350","journal-title":"Neurocomputing"},{"key":"14666_CR57","doi-asserted-by":"crossref","unstructured":"Zhao L, Wang Z, Zhang G (2017) Facial expression recognition from video sequences based on spatial-temporal motion local binary pattern and gabor multiorientation fusion histogram. Math Probl Eng 2017","DOI":"10.1155\/2017\/7206041"},{"key":"14666_CR58","doi-asserted-by":"crossref","unstructured":"Zhong D, Zhang H, Chang S (1996) Clustering methods for video browsing and annotation. In: Sethi IK, Jain RC (eds) Storage and retrieval for still image and video databases IV, San Diego\/La Jolla, CA, USA, January 28 - February 2, 1996. SPIE Proceedings, vol 2670. SPIE, pp 239\u2013246","DOI":"10.1117\/12.234800"},{"key":"14666_CR59","doi-asserted-by":"crossref","unstructured":"Zhou H, Zhou S (2019) Scene categorization towards urban tunnel traffic by image quality assessment. J Vis Commun Image Represent, pp 65","DOI":"10.1016\/j.jvcir.2019.102655"},{"key":"14666_CR60","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.neunet.2018.12.008","volume":"111","author":"R Zhu","year":"2019","unstructured":"Zhu R, Dornaika F, Ruichek Y (2019) Learning a discriminant graph-based embedding with feature selection for image categorization. Neural Netw 111:35\u201346","journal-title":"Neural Netw"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14666-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-14666-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-14666-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T09:06:50Z","timestamp":1693472810000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-14666-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,21]]},"references-count":60,"journal-issue":{"issue":"21","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["14666"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-14666-w","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2023,3,21]]},"assertion":[{"value":"9 November 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 May 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}