{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:56:39Z","timestamp":1742975799783,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031284687"},{"type":"electronic","value":"9783031284694"}],"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\/978-3-031-28469-4_1","type":"book-chapter","created":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T07:04:50Z","timestamp":1679555090000},"page":"3-13","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Object Recognition with\u00a0Class Conditional Gaussian Mixture Model - A Statistical Learning Approach"],"prefix":"10.1007","author":[{"given":"Wentao","family":"Lu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingbin","family":"Sheh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liangde","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claude","family":"Sammut","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,24]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","unstructured":"Cholesky decomposition. https:\/\/doi.org\/10.1093\/oi\/authority.20110803095609584. https:\/\/www.oxfordreference.com\/view\/10.1093\/oi\/authority.20110803095609584","DOI":"10.1093\/oi\/authority.20110803095609584"},{"key":"1_CR2","unstructured":"Ashar, J., et al.: Runswift team report (2019). https:\/\/github.com\/UNSWComputing\/rUNSWift-2019-release\/raw\/master\/rUNSWift_Team_Report.pdf"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Dacunha-Castelle, D., Gassiat, E.: The estimation of the order of a mixture model. Bernoulli 279\u2013299 (1997)","DOI":"10.2307\/3318593"},{"issue":"2","key":"1_CR4","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/TITB.2006.874191","volume":"11","author":"H Greenspan","year":"2007","unstructured":"Greenspan, H., Pinhas, A.T.: Medical image categorization and retrieval for PACS using the GMM-KL framework. IEEE Trans. Inf. Technol. Biomed. 11(2), 190\u2013202 (2007). https:\/\/doi.org\/10.1109\/TITB.2006.874191","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"1_CR5","unstructured":"Grosse, R., Srivastava, N.: Lecture 16: Mixture models. https:\/\/www.cs.toronto.edu\/~rgrosse\/csc321\/mixture_models.pdf"},{"key":"1_CR6","unstructured":"Karlin, S., Studden, W.: Tchebycheff Systems: With Applications in Analysis and Statistics. Pure and Applied Mathematics. Interscience Publishers (1966). https:\/\/books.google.com.au\/books?id=Rrc-AAAAIAAJ"},{"key":"1_CR7","unstructured":"Keribin, C.: Consistent estimation of the order of mixture models. Sankhy\u0101: Indian J. Stat. Series A 49\u201366 (2000)"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Krein, M.G., Nudelman, A.A.: The Markov moment problem and extremal problems: ideas and problems of P. L. Cebysev and A. A. Markov and their further development\/by M. G. Krein and A. A. Nudelman; [translated from the Russian by Israel Program for Scientific Translations, translated by D. Louvish]. American Mathematical Society Providence, R.I (1977)","DOI":"10.1090\/mmono\/050"},{"issue":"5","key":"1_CR9","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1002\/widm.1135","volume":"4","author":"GJ McLachlan","year":"2014","unstructured":"McLachlan, G.J., Rathnayake, S.: On the number of components in a Gaussian mixture model. Wiley Int. Rev. Data Min. Knowl. Disc. 4(5), 341\u2013355 (2014)","journal-title":"Wiley Int. Rev. Data Min. Knowl. Disc."},{"key":"1_CR10","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1007\/978-0-387-73003-5_196","volume-title":"Encyclopedia of Biometrics","author":"D Reynolds","year":"2009","unstructured":"Reynolds, D.: Gaussian mixture models. In: Li, S.Z., Jain, A. (eds.) Encyclopedia of Biometrics, pp. 659\u2013663. Springer, Boston (2009). https:\/\/doi.org\/10.1007\/978-0-387-73003-5_196"},{"key":"1_CR11","unstructured":"TJArk: Team description paper & research report (2017). https:\/\/github.com\/TJArk-Robotics\/coderelease_2017\/blob\/master\/TJArkTeamResearchReport2017.pdf"}],"container-title":["Lecture Notes in Computer Science","RoboCup 2022:"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28469-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,23]],"date-time":"2023-03-23T07:05:30Z","timestamp":1679555130000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28469-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031284687","9783031284694"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28469-4_1","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":"24 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RoboCup","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Robot World Cup","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bangkok","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"robocup2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2022.robocup.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","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":"28","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":"70% - 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":"1.43","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)"}}]}}