{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T18:13:36Z","timestamp":1765995216290,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031431524"},{"type":"electronic","value":"9783031431531"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-43153-1_3","type":"book-chapter","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T21:01:55Z","timestamp":1693861315000},"page":"25-36","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Hashing for\u00a0Structure-Based Anomaly Detection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7745-5686","authenticated-orcid":false,"given":"Filippo","family":"Leveni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0598-8279","authenticated-orcid":false,"given":"Luca","family":"Magri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3819-0025","authenticated-orcid":false,"given":"Cesare","family":"Alippi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1650-3054","authenticated-orcid":false,"given":"Giacomo","family":"Boracchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"key":"3_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed, M., Mahmood, A.N., Islam, M.R.: A survey of anomaly detection techniques in financial domain. Future Gener. Comput. Syst. 55, 278\u2013288 (2016)","DOI":"10.1016\/j.future.2015.01.001"},{"key":"3_CR2","unstructured":"Miljkovi\u0107, D.: Fault detection methods: a literature survey. In: International Convention on Information. Communication and Electronic Technology, pp. 750\u2013755. IEEE (2011)"},{"key":"3_CR3","doi-asserted-by":"crossref","unstructured":"Lazarevic, A., Ertoz, L., Kumar, V., Ozgur, A., Srivastava, J.: A comparative study of anomaly detection schemes in network intrusion detection. In: International Conference on Data Mining, pp. 25\u201336. SIAM (2003)","DOI":"10.1137\/1.9781611972733.3"},{"key":"3_CR4","doi-asserted-by":"crossref","unstructured":"Ukil, A., Bandyoapdhyay, S., Puri, C., Pal, A.: IoT healthcare analytics: the importance of anomaly detection. In: Advanced Information Networking and Applications, pp. 994\u2013997. IEEE (2016)","DOI":"10.1109\/AINA.2016.158"},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.neucom.2018.05.017","volume":"310","author":"M De Benedetti","year":"2018","unstructured":"De Benedetti, M., Leonardi, F., Messina, F., Santoro, C., Vasilakos, A.: Anomaly detection and predictive maintenance for photovoltaic systems. Neurocomputing 310, 59\u201368 (2018)","journal-title":"Neurocomputing"},{"issue":"3","key":"3_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. 41(3), 1\u201358 (2009)","journal-title":"ACM Comput. Surv."},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Ronen Basri and David W Jacobs. Lambertian reflectance and linear subspaces. Trans. Pattern Anal. Mach. Intell. 25(2), 218\u2013233 (2003)","DOI":"10.1109\/TPAMI.2003.1177153"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Leveni, F., Magri, L., Boracchi, G., Alippi, C.: PIF: anomaly detection via preference embedding. In: International Conference on Pattern Recognition, pp. 8077\u20138084. IEEE (2021)","DOI":"10.1109\/ICPR48806.2021.9412658"},{"key":"3_CR9","doi-asserted-by":"crossref","unstructured":"Kruskal, J.B.: Nonmetric multidimensional scaling: a numerical method. Psychometrika 29(2), 115\u2013129 (1964)","DOI":"10.1007\/BF02289694"},{"key":"3_CR10","first-page":"647","volume":"13","author":"M Ru\u017ei\u010dka","year":"1958","unstructured":"Ru\u017ei\u010dka, M.: Anwendung mathematisch-statisticher methoden in der geobotanik (synthetische bearbeitung von aufnahmen). Biol\u00f3gia 13, 647 (1958)","journal-title":"Biol\u00f3gia"},{"key":"3_CR11","first-page":"518","volume":"99","author":"A Gionis","year":"1999","unstructured":"Gionis, A., Indyk, P., Motwani, R., et al.: Similarity search in high dimensions via hashing. Conf. Very Large Databases 99, 518\u2013529 (1999)","journal-title":"Conf. Very Large Databases"},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Liu, F.T., Ting, K.M., Zhou, Z.H.: Isolation-based anomaly detection. Trans. Knowl. DiscData 6(1), 1\u201339 (2012)","DOI":"10.1145\/2133360.2133363"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Hariri, S., Kind, M.C., Brunner, R.J.: Extended isolation forest. Trans. Knowl. Data Eng. 33(4), 1479\u20131489 (2019)","DOI":"10.1109\/TKDE.2019.2947676"},{"key":"3_CR14","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.patrec.2021.05.022","volume":"149","author":"J Lesouple","year":"2021","unstructured":"Lesouple, J., Baudoin, C., Spigai, M., Tourneret, J.-Y.: Generalized isolation forest for anomaly detection. Pattern Recogn. Lett. 149, 109\u2013119 (2021)","journal-title":"Pattern Recogn. Lett."},{"key":"3_CR15","unstructured":"Staerman, G., Mozharovskyi, P., Cl\u00e9men\u00e7on, S., Florence d\u2019Alch\u00e9, B.: Functional isolation forest. In: Asian Conference on Machine Learning, pp. 332\u2013347. PMLR (2019)"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Zhang, X., et al.: Lshiforest: a generic framework for fast tree isolation based ensemble anomaly analysis. In: International Conference on Data Engineering, pp. 983\u2013994. IEEE (2017)","DOI":"10.1109\/ICDE.2017.145"},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Magri, L., Fusiello, A.: Reconstruction of interior walls from point cloud data with min-hashed j-linkage. In International Conference on 3D Vision, pp. 131\u2013139. IEEE (2018)","DOI":"10.1109\/3DV.2018.00025"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Lipkus, A.H.: A proof of the triangle inequality for the tanimoto distance. J. Math. Chem. 26(1\u20133), 263\u2013265 (1999)","DOI":"10.1023\/A:1019154432472"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Toldo, R., Fusiello, A.: Robust multiple structures estimation with J-Linkage. In: European Conference on Computer Vision, pp. 537\u2013547 (2008)","DOI":"10.1007\/978-3-540-88682-2_41"},{"key":"3_CR20","doi-asserted-by":"crossref","unstructured":"Magri, L., Fusiello, A.: T-Linkage: a continuous relaxation of J-linkage for multi-model fitting. In: Computer Vision and Pattern Recognition Conference, pp. 3954\u20133961, June 2014","DOI":"10.1109\/CVPR.2014.505"},{"key":"3_CR21","doi-asserted-by":"crossref","unstructured":"Magri, L., Leveni, F., Boracchi, G.: Multilink: multi-class structure recovery via agglomerative clustering and model selection. In: Computer Vision and Pattern Recognition Conference, pp. 1853\u20131862 (2021)","DOI":"10.1109\/CVPR46437.2021.00189"},{"key":"3_CR22","doi-asserted-by":"crossref","unstructured":"Fischler, M.A., Bolles, R.C.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 24(6), 381\u2013395 (1981)","DOI":"10.1145\/358669.358692"},{"key":"3_CR23","doi-asserted-by":"publisher","first-page":"108115","DOI":"10.1016\/j.patcog.2021.108115","volume":"120","author":"A Mensi","year":"2021","unstructured":"Mensi, A., Bicego, M.: Enhanced anomaly scores for isolation forests. Pattern Recogn. 120, 108115 (2021)","journal-title":"Pattern Recogn."},{"key":"3_CR24","unstructured":"Knuth, D.E.: The Art of Computer Programming: Sorting and Searching, vol. 3. Addison-Wesley Professional, Boston (1998)"},{"key":"3_CR25","doi-asserted-by":"crossref","unstructured":"Broder, A.Z., Charikar, M., Frieze, A.M., Mitzenmacher, M.: Min-wise independent permutations. In: Symposium on Theory of Computing, pp. 327\u2013336 (1998)","DOI":"10.1145\/276698.276781"},{"key":"3_CR26","doi-asserted-by":"crossref","unstructured":"Wong, H.S., Chin, T.J., Yu, J., Suter, D.: Dynamic and hierarchical multi-structure geometric model fitting. In: International Conference on Computer Vision, pp. 1044\u20131051. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126350"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2023"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-43153-1_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:33:12Z","timestamp":1710329592000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-43153-1_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031431524","9783031431531"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-43153-1_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"5 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Udine","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","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":"85","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":"7","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":"59% - 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":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}