{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T23:57:59Z","timestamp":1743033479449,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030339036"},{"type":"electronic","value":"9783030339043"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-33904-3_42","type":"book-chapter","created":{"date-parts":[[2019,10,25]],"date-time":"2019-10-25T22:40:05Z","timestamp":1572043205000},"page":"449-457","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BRIEF-Based Mid-Level Representations for Time Series Classification"],"prefix":"10.1007","author":[{"given":"Renato","family":"Souza","sequence":"first","affiliation":[]},{"given":"Raquel","family":"Almeida","sequence":"additional","affiliation":[]},{"given":"Roberto","family":"Miranda","sequence":"additional","affiliation":[]},{"suffix":"Jr.","given":"Zenilton Kleber G.","family":"do Patrocinio","sequence":"additional","affiliation":[]},{"given":"Simon","family":"Malinowski","sequence":"additional","affiliation":[]},{"given":"Silvio Jamil F.","family":"Guimar\u00e3es","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"key":"42_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/978-3-030-13469-3_13","volume-title":"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications","author":"R Almeida","year":"2019","unstructured":"Almeida, R., Herlanin, H., do Patrocinio, Z.K.G., Malinowski, S., Guimar\u00e3es, S.J.F.: Evaluation of bag-of-word performance for time series classification using discriminative sift-based mid-level representations. In: Vera-Rodriguez, R., Fierrez, J., Morales, A. (eds.) CIARP 2018. LNCS, vol. 11401, pp. 109\u2013116. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-13469-3_13"},{"issue":"5","key":"42_CR2","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/j.cviu.2012.09.007","volume":"117","author":"S Avila","year":"2013","unstructured":"Avila, S., Thome, N., Cord, M., Valle, E., Ara\u00faJo, A.D.A.: Pooling in image representation: the visual codeword point of view. Comput. Vis. Image Underst. 117(5), 453\u2013465 (2013)","journal-title":"Comput. Vis. Image Underst."},{"issue":"3","key":"42_CR3","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1007\/s10618-016-0483-9","volume":"31","author":"A Bagnall","year":"2017","unstructured":"Bagnall, A., Lines, J., Bostrom, A., Large, J., Keogh, E.: The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data Mining Knowl. Discov. 31(3), 606\u2013660 (2017)","journal-title":"Data Mining Knowl. Discov."},{"issue":"9","key":"42_CR4","doi-asserted-by":"publisher","first-page":"2522","DOI":"10.1109\/TKDE.2015.2416723","volume":"27","author":"A Bagnall","year":"2015","unstructured":"Bagnall, A., Lines, J., Hills, J., Bostrom, A.: Time-series classification with cote: the collective of transformation-based ensembles. IEEE Trans. Knowl. Data Eng. 27(9), 2522\u20132535 (2015)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"42_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-3-319-44412-3_2","volume-title":"Advanced Analysis and Learning on Temporal Data","author":"A Bailly","year":"2016","unstructured":"Bailly, A., Malinowski, S., Tavenard, R., Chapel, L., Guyet, T.: Dense bag-of-temporal-SIFT-words for time series classification. In: Douzal-Chouakria, A., Vilar, J.A., Marteau, P.-F. (eds.) AALTD 2015. LNCS (LNAI), vol. 9785, pp. 17\u201330. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-44412-3_2"},{"issue":"11","key":"42_CR6","doi-asserted-by":"publisher","first-page":"2796","DOI":"10.1109\/TPAMI.2013.72","volume":"35","author":"MG Baydogan","year":"2013","unstructured":"Baydogan, M.G., Runger, G., Tuv, E.: A bag-of-features framework to classify time series. IEEE PAMI 35(11), 2796\u20132802 (2013)","journal-title":"IEEE PAMI"},{"key":"42_CR7","doi-asserted-by":"crossref","unstructured":"Boureau, Y.L., Bach, F., LeCun, Y., Ponce, J.: Learning mid-level features for recognition. In: Proceedings of the CVPR 2010, pp. 2559\u20132566 (2010)","DOI":"10.1109\/CVPR.2010.5539963"},{"key":"42_CR8","unstructured":"Caetano, C., Avila, S., Guimaraes, S., Ara\u00fajo, A.D.A.: Pornography detection using Bossanova video descriptor. In: Proceedings of the EUSIPCO 2014, pp. 1681\u20131685. IEEE, Lisbon (2014)"},{"key":"42_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1007\/978-3-642-15561-1_56","volume-title":"Computer Vision \u2013 ECCV 2010","author":"M Calonder","year":"2010","unstructured":"Calonder, M., Lepetit, V., Strecha, C., Fua, P.: BRIEF: binary robust independent elementary features. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6314, pp. 778\u2013792. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15561-1_56"},{"issue":"4","key":"42_CR10","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1007\/s10618-013-0322-1","volume":"28","author":"J Hills","year":"2014","unstructured":"Hills, J., Lines, J., Baranauskas, E., Mapp, J., Bagnall, A.: Classification of time series by shapelet transformation. Data Mining Knowl. Discov. 28(4), 851\u2013881 (2014)","journal-title":"Data Mining Knowl. Discov."},{"issue":"9","key":"42_CR11","doi-asserted-by":"publisher","first-page":"1704","DOI":"10.1109\/TPAMI.2011.235","volume":"34","author":"H Jegou","year":"2012","unstructured":"Jegou, H., Perronnin, F., Douze, M., S\u00e1nchez, J., Perez, P., Schmid, C.: Aggregating local image descriptors into compact codes. IEEE PAMI 34(9), 1704\u20131716 (2012)","journal-title":"IEEE PAMI"},{"issue":"2","key":"42_CR12","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1007\/s10844-012-0196-5","volume":"39","author":"J Lin","year":"2012","unstructured":"Lin, J., Khade, R., Li, Y.: Rotation-invariant similarity in time series using bag-of-patterns representation. J. Intell. Inf. Syst. 39(2), 287\u2013315 (2012)","journal-title":"J. Intell. Inf. Syst."},{"issue":"6","key":"42_CR13","doi-asserted-by":"publisher","first-page":"1505","DOI":"10.1007\/s10618-014-0377-7","volume":"29","author":"P Sch\u00e4fer","year":"2014","unstructured":"Sch\u00e4fer, P.: The BOSS is concerned with time series classification in the presence of noise. Data Mining Knowl. Discov. 29(6), 1505\u20131530 (2014)","journal-title":"Data Mining Knowl. Discov."},{"key":"42_CR14","doi-asserted-by":"crossref","unstructured":"Ye, L., Keogh, E.: Time series shapelets: a new primitive for data mining. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 947\u2013956. ACM (2009)","DOI":"10.1145\/1557019.1557122"}],"container-title":["Lecture Notes in Computer Science","Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33904-3_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T14:09:58Z","timestamp":1710252598000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-33904-3_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030339036","9783030339043"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33904-3_42","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CIARP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Congress on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Havana","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cuba","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ciarp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ciarp.uci.cu\/","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 (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"128","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55% - 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 (provided by the conference organizers)"}},{"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 (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}