{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T18:32:02Z","timestamp":1770834722529,"version":"3.50.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030038007","type":"print"},{"value":"9783030038014","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","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":[[2018]]},"DOI":"10.1007\/978-3-030-03801-4_12","type":"book-chapter","created":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T07:40:49Z","timestamp":1541749249000},"page":"126-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Robust Incremental Hidden Conditional Random Fields for Human Action Recognition"],"prefix":"10.1007","author":[{"given":"Michalis","family":"Vrigkas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ermioni","family":"Mastora","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christophoros","family":"Nikou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioannis A.","family":"Kakadiaris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,10]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Bouchard, G.: Bias-variance tradeoff in hybrid generative-discriminative models. In: ICMLA, pp. 124\u2013129 (2007)","DOI":"10.1109\/ICMLA.2007.85"},{"issue":"1","key":"12_CR2","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1109\/TNNLS.2012.2224882","volume":"24","author":"K Bousmalis","year":"2013","unstructured":"Bousmalis, K., Zafeiriou, S., Morency, L.P., Pantic, M.: Infinite hidden conditional random fields for human behavior analysis. Trans. Neural Netw. Learn. Syst. 24(1), 170\u2013177 (2013)","journal-title":"Trans. Neural Netw. Learn. Syst."},{"key":"12_CR3","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/978-3-642-40991-2_34","volume-title":"Advanced Information Systems Engineering","author":"Konstantinos Bousmalis","year":"2013","unstructured":"Bousmalis, K., Zafeiriou, S., Morency, L.P., Pantic, M., Ghahramani, Z.: Variational hidden conditional random fields with coupled dirichlet process mixtures. In: Proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 531\u2013547 (2013)"},{"issue":"1","key":"12_CR4","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/BF01582063","volume":"63","author":"RH Byrd","year":"1994","unstructured":"Byrd, R.H., Nocedal, J., Schnabel, R.B.: Representations of quasi-Newton matrices and their use in limited memory methods. Math. Program. 63(1), 129\u2013156 (1994)","journal-title":"Math. Program."},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Carreira, J., Zisserman, A.: Quo vadis, action recognition? A new model and the kinetics dataset. In: CVPR, pp. 6299\u20136308, July 2017","DOI":"10.1109\/CVPR.2017.502"},{"key":"12_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2, 1\u201327 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Donahue, J., Hendricks, L.A., Guadarrama, S., Rohrbach, M., Venugopalan, S., Saenko, K., Darrell, T.: Long-term recurrent convolutional networks for visual recognition and description. In: CVPR, pp. 2625\u20132634, June 2015","DOI":"10.21236\/ADA623249"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Feichtenhofer, C., Pinz, A., Zisserman, A.: Convolutional two-stream network fusion for video action recognition. In: CVPR, June 2016","DOI":"10.1109\/CVPR.2016.213"},{"key":"12_CR9","unstructured":"Lafferty, J.D., Pereira, F.C.N., McCallum, A.: Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: ICML, pp. 282\u2013289 (2001)"},{"issue":"2\u20133","key":"12_CR10","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s11263-005-1838-7","volume":"64","author":"I Laptev","year":"2005","unstructured":"Laptev, I.: On space-time interest points. Int. J. Comput. Vis. 64(2\u20133), 107\u2013123 (2005)","journal-title":"Int. J. Comput. Vis."},{"issue":"4","key":"12_CR11","first-page":"335","volume":"10","author":"GJ McLachlan","year":"2000","unstructured":"McLachlan, G.J., Peel, D.: Robust mixture modelling using the t distribution. Stat. Comput. 10(4), 335\u2013344 (2000)","journal-title":"Stat. Comput."},{"issue":"12","key":"12_CR12","doi-asserted-by":"publisher","first-page":"2441","DOI":"10.1109\/TPAMI.2012.24","volume":"34","author":"A Patron-Perez","year":"2012","unstructured":"Patron-Perez, A., Marszalek, M., Reid, I., Zisserman, A.: Structured learning of human interactions in TV shows. IEEE Trans. Pattern Anal. Mach. Intell. 34(12), 2441\u20132453 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"10","key":"12_CR13","doi-asserted-by":"publisher","first-page":"1848","DOI":"10.1109\/TPAMI.2007.1124","volume":"29","author":"A Quattoni","year":"2007","unstructured":"Quattoni, A., Wang, S., Morency, L.P., Collins, M., Darrell, T.: Hidden conditional random fields. IEEE Trans. Pattern Anal. Mach. Intell. 29(10), 1848\u20131852 (2007)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"12_CR14","volume-title":"Fundamentals of Speech Recognition","author":"L Rabiner","year":"1993","unstructured":"Rabiner, L., Juang, B.H.: Fundamentals of Speech Recognition. Prentice-Hall, Englewood Cliffs (1993)"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Sigurdsson, G.A., Russakovsky, O., Gupta, A.: What actions are needed for understanding human actions in videos? In: Proceedings of IEEE International Conference on Computer Vision, pp. 2156\u20132165 (2017)","DOI":"10.1109\/ICCV.2017.235"},{"key":"12_CR16","unstructured":"Song, Y., Morency, L.P., Davis, R.: Multi-view latent variable discriminative models for action recognition. In: CVPR, Providence, RI, June 2012"},{"key":"12_CR17","unstructured":"Soullard, Y., Arti\u00e8res, T.: Hybrid HMM and HCRF model for sequence classification. In: ESANN, pp. 453\u2013458 (2011)"},{"key":"12_CR18","doi-asserted-by":"crossref","unstructured":"Tran, D., Bourdev, L., Fergus, R., Torresani, L., Paluri, M.: Learning spatiotemporal features with 3D convolutional networks. In: ICCV, pp. 4489\u20134497 (2015)","DOI":"10.1109\/ICCV.2015.510"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Vrigkas, M., Kazakos, E., Nikou, C., Kakadiaris, I.A.: Inferring human activities using robust privileged probabilistic learning. In: ICCVW, pp. 2658\u20132665 (2017)","DOI":"10.1109\/ICCVW.2017.307"},{"key":"12_CR20","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-3-319-07064-3_8","volume-title":"Artificial Intelligence: Methods and Applications","author":"M Vrigkas","year":"2014","unstructured":"Vrigkas, M., Nikou, C., Kakadiadis, I.A.: Classifying behavioral attributes using conditional random fields. In: Likas, A., Blekas, K., Kalles, D. (eds.) SETN 2014. LNCS (LNAI), vol. 8445, pp. 95\u2013104. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-07064-3_8"},{"issue":"28","key":"12_CR21","first-page":"1","volume":"2","author":"M Vrigkas","year":"2015","unstructured":"Vrigkas, M., Nikou, C., Kakadiaris, I.A.: A review of human activity recognition methods. Front. Robot. AI 2(28), 1\u201326 (2015)","journal-title":"Front. Robot. AI"},{"issue":"1","key":"12_CR22","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/TAFFC.2015.2507168","volume":"8","author":"M Vrigkas","year":"2017","unstructured":"Vrigkas, M., Nikou, C., Kakadiaris, I.A.: Identifying human behaviors using synchronized audio-visual cues. IEEE Trans. Affect. Comput. 8(1), 54\u201366 (2017)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Wang, L., Xiong, Y., Lin, D., Van Gool, L.: Untrimmednets for weakly supervised action recognition and detection. In: CVPR, pp. 4325\u20134334, July 2017","DOI":"10.1109\/CVPR.2017.678"},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Yun, K., Honorio, J., Chattopadhyay, D., Berg, T.L., Samaras, D.: Two-person interaction detection using body-pose features and multiple instance learning. In: CVPRW, pp. 28\u201335 (2012)","DOI":"10.1109\/CVPRW.2012.6239234"},{"issue":"1","key":"12_CR25","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1016\/j.patcog.2009.05.015","volume":"43","author":"J Zhang","year":"2010","unstructured":"Zhang, J., Gong, S.: Action categorization with modified hidden conditional random field. Pattern Recognit. 43(1), 197\u2013203 (2010)","journal-title":"Pattern Recognit."}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-03801-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T02:49:39Z","timestamp":1572576579000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-03801-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030038007","9783030038014"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-03801-4_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ISVC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Visual Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Las Vegas, NV","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isvc2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.isvc.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"113","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"66","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"58% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"54 papers were accepted for the main symposium out of 91 submissions; and 12 papers were accepted for the special tracks out of 22 submissions","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}