{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T06:18:42Z","timestamp":1757312322173,"version":"3.37.3"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T00:00:00Z","timestamp":1635379200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T00:00:00Z","timestamp":1635379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Prog Artif Intell"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s13748-021-00266-y","type":"journal-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T17:03:51Z","timestamp":1635440631000},"page":"151-168","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Fast and robust online-learning facial expression recognition and innate novelty detection capability of extreme learning algorithms"],"prefix":"10.1007","volume":"11","author":[{"given":"Sarutte","family":"Atsawaraungsuk","sequence":"first","affiliation":[]},{"given":"Tatpong","family":"Katanyukul","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8323-7510","authenticated-orcid":false,"given":"Pattarawit","family":"Polpinit","sequence":"additional","affiliation":[]},{"given":"Nawapak","family":"Eua-anant","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"issue":"1","key":"266_CR1","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1109\/TSMCB.2005.854502","volume":"36","author":"K Anderson","year":"2006","unstructured":"Anderson, K., McOwan, P.W.: A real-time automated system for the recognition of human facial expressions. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 36(1), 96\u2013105 (2006)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B (Cybern.)"},{"key":"266_CR2","volume-title":"QRD-RLS Adaptive Filtering","author":"JA Apolin\u00e1rio","year":"2009","unstructured":"Apolin\u00e1rio, J.A., Apolin\u00e1rio, J.A., Rautmann, R.: QRD-RLS Adaptive Filtering. Springer, Berlin (2009)"},{"issue":"46","key":"266_CR3","first-page":"120","volume":"2","author":"S Atsawaraungsuk","year":"2019","unstructured":"Atsawaraungsuk, S., Kantanyukul, T., Polpinit, P.: Identity activation structural tolerance online sequential circular extreme learning machine for high dimensional data. Eng. Appl. Sci. Res. 2(46), 120\u2013129 (2019)","journal-title":"Eng. Appl. Sci. Res."},{"issue":"4","key":"266_CR4","doi-asserted-by":"publisher","first-page":"601","DOI":"10.14716\/ijtech.v8i4.9476","volume":"8","author":"S Atsawaraungsuk","year":"2017","unstructured":"Atsawaraungsuk, S., Tatpong, K.: Sin activation structural tolerance online sequential circular extreme learning machine for classification problem. Int. J. Technol. 8(4), 601\u2013610 (2017)","journal-title":"Int. J. Technol."},{"key":"266_CR5","doi-asserted-by":"crossref","unstructured":"Atsawaruangsuk, S., Katanyukul, T., Polpinit, P.: Analyze facial expression recognition based on curvelet transform via extreme learning machine. Presented at the (Springer (2019).)","DOI":"10.1007\/978-3-030-19861-9_15"},{"key":"266_CR6","volume-title":"Digital Image Processing: Principles and Applications","author":"GA Baxes","year":"1994","unstructured":"Baxes, G.A.: Digital Image Processing: Principles and Applications. Wiley, New York (1994)"},{"key":"266_CR7","doi-asserted-by":"crossref","unstructured":"Biswas, S., Sil, J.:ACM,: An efficient expression recognition method using contourlet transform. Presented at the (2015)","DOI":"10.1109\/ICRCICN.2015.7434204"},{"issue":"2","key":"266_CR8","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1002\/cpa.10116","volume":"57","author":"EJ Cand\u00e8s","year":"2004","unstructured":"Cand\u00e8s, E.J., Donoho, D.L.: New tight frames of curvelets and optimal representations of objects with piecewise c2 singularities. Commun. Pure Appl. Math. J. Issued Courant Instit. Math. Sci. 57(2), 219\u2013266 (2004)","journal-title":"Commun. Pure Appl. Math. J. Issued Courant Instit. Math. Sci."},{"key":"266_CR9","doi-asserted-by":"crossref","unstructured":"Cossetin, M.J., Nievola, J.C., Koerich, A.L.: In: Facial expression recognition using a pairwise feature selection and classification approach, pp. 5149\u20135155. IEEE (2016)","DOI":"10.1109\/IJCNN.2016.7727879"},{"issue":"6","key":"266_CR10","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1109\/TMM.2014.2321113","volume":"16","author":"M Dahmane","year":"2014","unstructured":"Dahmane, M., Meunier, J.: Prototype-based modeling for facial expression analysis. IEEE Trans. Multimedia 16(6), 1574\u20131584 (2014)","journal-title":"IEEE Trans. Multimedia"},{"key":"266_CR11","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.neucom.2011.12.050","volume":"102","author":"S Decherchi","year":"2013","unstructured":"Decherchi, S., Gastaldo, P., Zunino, R., Cambria, E., Redi, J.: Circular-elm for the reduced-reference assessment of perceived image quality. Neurocomputing 102, 78\u201389 (2013)","journal-title":"Neurocomputing"},{"key":"266_CR12","unstructured":"Eckman, P.: Universal and cultural differences in facial expression of emotion. In: Nebraska symposium on motivation, vol.\u00a019, pp. 207\u2013284 (1972)"},{"key":"266_CR13","volume-title":"Matrix Computations","author":"GH Golub","year":"2012","unstructured":"Golub, G.H., Van Loan, C.F.: Matrix Computations, vol. 3. JHU Press, Baltimore (2012)"},{"issue":"1","key":"266_CR14","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.patcog.2011.05.006","volume":"45","author":"W Gu","year":"2012","unstructured":"Gu, W., Xiang, C., Venkatesh, Y., Huang, D., Lin, H.: Facial expression recognition using radial encoding of local gabor features and classifier synthesis. Pattern Recogn. 45(1), 80\u201391 (2012)","journal-title":"Pattern Recogn."},{"issue":"1","key":"266_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TAFFC.2014.2386334","volume":"6","author":"S Happy","year":"2015","unstructured":"Happy, S., Routray, A.: Automatic facial expression recognition using features of salient facial patches. IEEE Trans. Affective Comput. 6(1), 1\u201312 (2015)","journal-title":"IEEE Trans. Affective Comput."},{"key":"266_CR16","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.neucom.2013.10.047","volume":"149","author":"P Horata","year":"2015","unstructured":"Horata, P., Chiewchanwattana, S., Sunat, K.: Enhancement of online sequential extreme learning machine based on the householder block exact inverse qrd recursive least squares. Neurocomputing 149, 239\u2013252 (2015)","journal-title":"Neurocomputing"},{"issue":"1\u20133","key":"266_CR17","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"GB Huang","year":"2006","unstructured":"Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme learning machine: theory and applications. Neurocomputing 70(1\u20133), 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"key":"266_CR18","doi-asserted-by":"crossref","unstructured":"Jobanputra, M., Chaudhary, A., Shah, S., Gandhi, R.: In: Real-time face recognition in hd videos: algorithms and framework, pp. 1\u20138. IEEE (2018)","DOI":"10.1109\/SYSCON.2018.8369529"},{"issue":"6","key":"266_CR19","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1049\/iet-cvi.2015.0273","volume":"10","author":"S Kumar","year":"2016","unstructured":"Kumar, S., Bhuyan, M.K., Chakraborty, B.K.: Extraction of informative regions of a face for facial expression recognition. IET Computer Vision 10(6), 567\u2013576 (2016)","journal-title":"IET Computer Vision"},{"issue":"6","key":"266_CR20","doi-asserted-by":"publisher","first-page":"1411","DOI":"10.1109\/TNN.2006.880583","volume":"17","author":"NY Liang","year":"2006","unstructured":"Liang, N.Y., Huang, G.B., Saratchandran, P., Sundararajan, N.: A fast and accurate online sequential learning algorithm for feedforward networks. IEEE Trans. Neural Networks 17(6), 1411\u20131423 (2006)","journal-title":"IEEE Trans. Neural Networks"},{"key":"266_CR21","doi-asserted-by":"crossref","unstructured":"Lucey, P., Cohn, J.F., Kanade, T., Saragih, J., Ambadar, Z., Matthews, I.: In: The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression, pp. 94\u2013101. IEEE (2010)","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"266_CR22","unstructured":"Lyons, M.: Facial expression database: Japanese female facial expression (jaffe) database. http:\/\/www.kasrl.org\/jaffe.html (1998)"},{"issue":"10\u201311","key":"266_CR23","doi-asserted-by":"publisher","first-page":"2588","DOI":"10.1016\/j.patcog.2011.03.013","volume":"44","author":"AA Mohammed","year":"2011","unstructured":"Mohammed, A.A., Minhas, R., Wu, Q.J., Sid-Ahmed, M.A.: Human face recognition based on multidimensional pca and extreme learning machine. Pattern Recogn. 44(10\u201311), 2588\u20132597 (2011)","journal-title":"Pattern Recogn."},{"issue":"3","key":"266_CR24","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/BF00925827","volume":"3","author":"M Moonen","year":"1991","unstructured":"Moonen, M., Vandewalle, J.: A square root covariance algorithm for constrained recursive least squares estimation. J. VLSI Signal Process. Syst. Signal Image Video Technol. 3(3), 163\u2013172 (1991)","journal-title":"J. VLSI Signal Process. Syst. Signal Image Video Technol."},{"key":"266_CR25","doi-asserted-by":"crossref","unstructured":"Nakjai, P., Katanyukul, T.: Automatic hand sign recognition: Identify unusuality through latent cognizance. In: IAPR Workshop on Artificial Neural Networks in Pattern Recognition, pp. 255\u2013267. Springer (2018)","DOI":"10.1007\/978-3-319-99978-4_20"},{"key":"266_CR26","doi-asserted-by":"crossref","unstructured":"Revina, I.M., Emmanuel, W.S.: A survey on human face expression recognition techniques. Journal of King Saud University-Computer and Information Sciences (2018)","DOI":"10.1016\/j.jksuci.2018.09.002"},{"key":"266_CR27","doi-asserted-by":"crossref","unstructured":"Salmam, F.Z., Madani, A., Kissi, M.: Facial expression recognition using decision trees. In: 2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV), pp. 125\u2013130. IEEE (2016)","DOI":"10.1109\/CGiV.2016.33"},{"issue":"7","key":"266_CR28","first-page":"2872","volume":"29","author":"W Shi","year":"2017","unstructured":"Shi, W., Gong, Y., Tao, X., Wang, J., Zheng, N.: Improving cnn performance accuracies with min-max objective. IEEE Trans. Neural Netw. Learning Syst. 29(7), 2872\u20132885 (2017)","journal-title":"IEEE Trans. Neural Netw. Learning Syst."},{"issue":"2","key":"266_CR29","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1007\/s11042-014-2333-3","volume":"75","author":"MH Siddiqi","year":"2016","unstructured":"Siddiqi, M.H., Ali, R., Idris, M., Khan, A.M., Kim, E.S., Whang, M.C., Lee, S.: Human facial expression recognition using curvelet feature extraction and normalized mutual information feature selection. Multimedia Tools Appl. 75(2), 935\u2013959 (2016)","journal-title":"Multimedia Tools Appl."},{"key":"266_CR30","doi-asserted-by":"crossref","unstructured":"Soula, A., Said, S.B., Ksantini, R., Lachiri, Z.: In: A novel incremental face recognition method based on nonparametric discriminant model, pp. 1\u20136. IEEE (2018)","DOI":"10.1109\/ATSIP.2018.8364451"},{"issue":"22","key":"266_CR31","doi-asserted-by":"publisher","first-page":"5401","DOI":"10.1016\/j.ijleo.2013.03.116","volume":"124","author":"M Tang","year":"2013","unstructured":"Tang, M., Chen, F.: Facial expression recognition and its application based on curvelet transform and pso-svm. Optik-Int. J. Light Electron Optics 124(22), 5401\u20135406 (2013)","journal-title":"Optik-Int. J. Light Electron Optics"},{"key":"266_CR32","doi-asserted-by":"crossref","unstructured":"Trefethen, L.N., Bau, D., III.: Numerical linear algebra 50, Siam (1997)","DOI":"10.1137\/1.9780898719574"},{"issue":"1","key":"266_CR33","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s00521-014-1569-1","volume":"27","author":"A U\u00e7ar","year":"2016","unstructured":"U\u00e7ar, A., Demir, Y., G\u00fczeli\u015f, C.: A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering. Neural Comput. Appl. 27(1), 131\u2013142 (2016)","journal-title":"Neural Comput. Appl."},{"issue":"2","key":"266_CR34","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Computer Vision 57(2), 137\u2013154 (2004)","journal-title":"Int. J. Computer Vision"},{"key":"266_CR35","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/j.neucom.2014.05.008","volume":"145","author":"L Zhang","year":"2014","unstructured":"Zhang, L., Tjondronegoro, D., Chandran, V.: Random gabor based templates for facial expression recognition in images with facial occlusion. Neurocomputing 145, 451\u2013464 (2014)","journal-title":"Neurocomputing"}],"container-title":["Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-021-00266-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13748-021-00266-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13748-021-00266-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,19]],"date-time":"2022-05-19T14:50:59Z","timestamp":1652971859000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13748-021-00266-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,28]]},"references-count":35,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["266"],"URL":"https:\/\/doi.org\/10.1007\/s13748-021-00266-y","relation":{},"ISSN":["2192-6352","2192-6360"],"issn-type":[{"type":"print","value":"2192-6352"},{"type":"electronic","value":"2192-6360"}],"subject":[],"published":{"date-parts":[[2021,10,28]]},"assertion":[{"value":"3 December 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}