{"id":"https://openalex.org/W1533501036","doi":"https://doi.org/10.1007/978-3-642-15555-0_30","title":"Discriminative Mixture-of-Templates for Viewpoint Classification","display_name":"Discriminative Mixture-of-Templates for Viewpoint Classification","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1533501036","doi":"https://doi.org/10.1007/978-3-642-15555-0_30","mag":"1533501036"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-15555-0_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15555-0_30","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/A5040659817","display_name":"Chunhui Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunhui Gu","raw_affiliation_strings":["University of California at Berkeley, Berkeley, CA, 94720, USA","University of California at Berkeley Berkeley CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California at Berkeley, Berkeley, CA, 94720, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California at Berkeley Berkeley CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101790014","display_name":"Xiaofeng Ren","orcid":"https://orcid.org/0000-0002-2120-9239"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Ren","raw_affiliation_strings":["Intel Labs Seattle, 1100 NE 45th Street, Seattle, WA, 98105, USA","Intel Labs Seattle, Seattle, WA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs Seattle, 1100 NE 45th Street, Seattle, WA, 98105, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Intel Labs Seattle, Seattle, WA#TAB#","institution_ids":["https://openalex.org/I1343180700"]}]}],"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":51.4786,"has_fulltext":false,"cited_by_count":159,"citation_normalized_percentile":{"value":0.99914894,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"408","last_page":"421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8457735776901245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.816536545753479},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7620723247528076},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6834138631820679},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5949503183364868},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5146997570991516},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4740307629108429},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4331289529800415},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4119989275932312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40061014890670776},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.33625826239585876}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8457735776901245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.816536545753479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7620723247528076},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6834138631820679},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5949503183364868},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5146997570991516},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4740307629108429},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4331289529800415},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4119989275932312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40061014890670776},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.33625826239585876},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-642-15555-0_30","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-15555-0_30","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:10.1.1.169.3507","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.169.3507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.seattle.intel-research.net/%7Exren/publication/xren_eccv10_viewpoint.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.178.5162","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.178.5162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.seattle.intel-research.net/%7Exren/publication/xren_eccv10_viewpoint.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.298.3440","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.3440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://seattle.intel-research.net/~xren/publication/xren_eccv10_viewpoint.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W2001127164","https://openalex.org/W2059412355","https://openalex.org/W2088115584","https://openalex.org/W2089213173","https://openalex.org/W2101577816","https://openalex.org/W2111187045","https://openalex.org/W2115232897","https://openalex.org/W2121947440","https://openalex.org/W2122146039","https://openalex.org/W2123456673","https://openalex.org/W2128942651","https://openalex.org/W2131225894","https://openalex.org/W2136244984","https://openalex.org/W2139704390","https://openalex.org/W2144657325","https://openalex.org/W2146447720","https://openalex.org/W2148999380","https://openalex.org/W2151103935","https://openalex.org/W2151689911","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2164535573","https://openalex.org/W2168002178","https://openalex.org/W2168356304","https://openalex.org/W2186094539","https://openalex.org/W2535401692","https://openalex.org/W2538008885","https://openalex.org/W2546526894","https://openalex.org/W3022396642","https://openalex.org/W4213009331","https://openalex.org/W4254101439"],"related_works":["https://openalex.org/W4396941953","https://openalex.org/W2146591867","https://openalex.org/W2093104230","https://openalex.org/W2987280934","https://openalex.org/W4390874210","https://openalex.org/W4384918963","https://openalex.org/W4365211920","https://openalex.org/W2128027845","https://openalex.org/W3014948380","https://openalex.org/W4386184937"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":27},{"year":2014,"cited_by_count":15},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":15}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}