{"id":"https://openalex.org/W1032927584","doi":"https://doi.org/10.1007/978-3-319-10578-9_26","title":"Multi-class Open Set Recognition Using Probability of Inclusion","display_name":"Multi-class Open Set Recognition Using Probability of Inclusion","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1032927584","doi":"https://doi.org/10.1007/978-3-319-10578-9_26","mag":"1032927584"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-10578-9_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-10578-9_26","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":"conference-paper","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/A5108432078","display_name":"Lalit P. Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lalit P. Jain","raw_affiliation_strings":["University of Coloradom, Colorado Springs, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Coloradom, Colorado Springs, USA","institution_ids":["https://openalex.org/I888729015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091513740","display_name":"Walter J. Scheirer","orcid":"https://orcid.org/0000-0001-9649-8074"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]},{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter J. Scheirer","raw_affiliation_strings":["Harvard University, USA","University of Coloradom, Colorado Springs, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"University of Coloradom, Colorado Springs, USA","institution_ids":["https://openalex.org/I888729015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049661026","display_name":"Terrance E. Boult","orcid":"https://orcid.org/0000-0001-5007-2529"},"institutions":[{"id":"https://openalex.org/I888729015","display_name":"University of Colorado Colorado Springs","ror":"https://ror.org/054spjc55","country_code":"US","type":"education","lineage":["https://openalex.org/I888729015"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Terrance E. Boult","raw_affiliation_strings":["Securics, Inc., USA","University of Coloradom, Colorado Springs, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Securics, Inc., USA","institution_ids":[]},{"raw_affiliation_string":"University of Coloradom, Colorado Springs, USA","institution_ids":["https://openalex.org/I888729015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":353,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"393","last_page":"409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.3246999979019165,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.3246999979019165,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.2711000144481659,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.05609999969601631,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.900481104850769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7881923913955688},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.7495399117469788},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.7188816666603088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5850332975387573},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5601347088813782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5393723249435425},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46020999550819397},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4253257215023041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.414779394865036},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3899223804473877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1879132091999054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07428747415542603}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.900481104850769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881923913955688},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.7495399117469788},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.7188816666603088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5850332975387573},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5601347088813782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5393723249435425},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46020999550819397},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4253257215023041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.414779394865036},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3899223804473877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1879132091999054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07428747415542603},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-10578-9_26","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-10578-9_26","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.639.1136","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.1136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.wjscheirer.com/papers/wjs_eccv2014_openset.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W10548402","https://openalex.org/W1500657154","https://openalex.org/W1549656520","https://openalex.org/W1576767704","https://openalex.org/W1618905105","https://openalex.org/W1797042871","https://openalex.org/W1824259148","https://openalex.org/W1970088130","https://openalex.org/W1978962787","https://openalex.org/W1990975153","https://openalex.org/W1999360126","https://openalex.org/W1999589609","https://openalex.org/W2003115311","https://openalex.org/W2012942264","https://openalex.org/W2018006179","https://openalex.org/W2018459374","https://openalex.org/W2019575783","https://openalex.org/W2028582824","https://openalex.org/W2031489346","https://openalex.org/W2039528551","https://openalex.org/W2050969847","https://openalex.org/W2076014259","https://openalex.org/W2081604642","https://openalex.org/W2095975117","https://openalex.org/W2096204758","https://openalex.org/W2098368939","https://openalex.org/W2098570825","https://openalex.org/W2098824882","https://openalex.org/W2100332042","https://openalex.org/W2107496976","https://openalex.org/W2112493108","https://openalex.org/W2112796928","https://openalex.org/W2114759747","https://openalex.org/W2116458520","https://openalex.org/W2116750363","https://openalex.org/W2117132237","https://openalex.org/W2118377301","https://openalex.org/W2118585731","https://openalex.org/W2119656522","https://openalex.org/W2119880843","https://openalex.org/W2120027739","https://openalex.org/W2121091546","https://openalex.org/W2123460005","https://openalex.org/W2125240890","https://openalex.org/W2132870739","https://openalex.org/W2139691440","https://openalex.org/W2139783272","https://openalex.org/W2142334564","https://openalex.org/W2147079026","https://openalex.org/W2147993235","https://openalex.org/W2148603752","https://openalex.org/W2149175418","https://openalex.org/W2153635508","https://openalex.org/W2161813894","https://openalex.org/W2161969291","https://openalex.org/W2167626157","https://openalex.org/W2170021787","https://openalex.org/W2476270784","https://openalex.org/W2797569913","https://openalex.org/W3125368692","https://openalex.org/W4232919069"],"related_works":["https://openalex.org/W184442817","https://openalex.org/W2952270521","https://openalex.org/W1934446750","https://openalex.org/W2009611918","https://openalex.org/W2814966788","https://openalex.org/W1983643426","https://openalex.org/W4312531262","https://openalex.org/W4388103534","https://openalex.org/W4318142952","https://openalex.org/W2072070946"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":64},{"year":2022,"cited_by_count":48},{"year":2021,"cited_by_count":48},{"year":2020,"cited_by_count":48},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":6}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
