{"id":"https://openalex.org/W1503345968","doi":"https://doi.org/10.1007/978-3-642-15552-9_43","title":"A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer Vision","display_name":"A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer Vision","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1503345968","doi":"https://doi.org/10.1007/978-3-642-15552-9_43","mag":"1503345968"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-15552-9_43","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15552-9_43","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007217822","display_name":"Chad Aeschliman","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chad Aeschliman","raw_affiliation_strings":["Purdue University, \u00a0","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, \u00a0","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058723279","display_name":"Johnny Park","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johnny Park","raw_affiliation_strings":["Purdue University, \u00a0","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, \u00a0","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110382122","display_name":"Avinash C. Kak","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avinash C. Kak","raw_affiliation_strings":["Purdue University, \u00a0","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, \u00a0","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007217822"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.5664,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.64877077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"594","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.7337770462036133},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6272314786911011},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.626192033290863},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6227342486381531},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5728062987327576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5186564326286316},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5159650444984436},{"id":"https://openalex.org/keywords/multivariate-t-distribution","display_name":"Multivariate t-distribution","score":0.5035828948020935},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.49145233631134033},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.46406134963035583},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46387776732444763},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4580572545528412},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.41564521193504333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3573804497718811},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1852978765964508},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14085739850997925}],"concepts":[{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.7337770462036133},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6272314786911011},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.626192033290863},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6227342486381531},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5728062987327576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5186564326286316},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5159650444984436},{"id":"https://openalex.org/C172713675","wikidata":"https://www.wikidata.org/wiki/Q6935144","display_name":"Multivariate t-distribution","level":4,"score":0.5035828948020935},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.49145233631134033},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.46406134963035583},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46387776732444763},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4580572545528412},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.41564521193504333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3573804497718811},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1852978765964508},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14085739850997925},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-15552-9_43","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15552-9_43","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W11828546","https://openalex.org/W1579925870","https://openalex.org/W1580963329","https://openalex.org/W2024476015","https://openalex.org/W2037676475","https://openalex.org/W2038200778","https://openalex.org/W2044822299","https://openalex.org/W2062962093","https://openalex.org/W2113926057","https://openalex.org/W2118522007","https://openalex.org/W2125027820","https://openalex.org/W2137783381","https://openalex.org/W2137971377","https://openalex.org/W2145862222","https://openalex.org/W2149832394","https://openalex.org/W2152385515","https://openalex.org/W3150797255","https://openalex.org/W4235244479"],"related_works":["https://openalex.org/W1664751680","https://openalex.org/W4252706329","https://openalex.org/W2160216316","https://openalex.org/W1978153144","https://openalex.org/W1571522380","https://openalex.org/W2352849701","https://openalex.org/W2004966695","https://openalex.org/W2339563047","https://openalex.org/W1977393063","https://openalex.org/W3167694133"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}