{"id":"https://openalex.org/W2141397194","doi":"https://doi.org/10.1109/cvpr.2009.5206790","title":"Stochastic gradient kernel density mode-seeking","display_name":"Stochastic gradient kernel density mode-seeking","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2141397194","doi":"https://doi.org/10.1109/cvpr.2009.5206790","mag":"2141397194"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2009.5206790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206790","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"article","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/A5100776794","display_name":"Xiao\u2013Tong Yuan","orcid":"https://orcid.org/0000-0002-7151-8806"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-Tong Yuan","raw_affiliation_strings":["NLPR, CASIA, China"],"affiliations":[{"raw_affiliation_string":"NLPR, CASIA, China","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082786719","display_name":"Stan Z. Li","orcid":"https://orcid.org/0000-0002-2961-8096"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Stan Z. Li","raw_affiliation_strings":["CBSR&NLPR, CASIA, China","CBSR & NLPR, CASIA, China"],"affiliations":[{"raw_affiliation_string":"CBSR&NLPR, CASIA, China","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"CBSR & NLPR, CASIA, China","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100776794"],"corresponding_institution_ids":["https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":3.1027,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9159292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1926","last_page":"1931"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14083","display_name":"Extremum Seeking Control Systems","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/mean-shift","display_name":"Mean-shift","score":0.9314333200454712},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6952915787696838},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.691490650177002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6108294129371643},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.541326642036438},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.528112530708313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46756061911582947},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.46176260709762573},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4562032222747803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4256141185760498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41728657484054565},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28360775113105774},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07355085015296936}],"concepts":[{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.9314333200454712},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6952915787696838},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.691490650177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6108294129371643},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.541326642036438},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.528112530708313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46756061911582947},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.46176260709762573},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4562032222747803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4256141185760498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41728657484054565},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28360775113105774},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07355085015296936},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2009.5206790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2009.5206790","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W18661094","https://openalex.org/W1568229137","https://openalex.org/W2022686119","https://openalex.org/W2067191022","https://openalex.org/W2097998671","https://openalex.org/W2101159990","https://openalex.org/W2104814086","https://openalex.org/W2111284535","https://openalex.org/W2114254526","https://openalex.org/W2118020555","https://openalex.org/W2136277000","https://openalex.org/W2139759436","https://openalex.org/W2141240481","https://openalex.org/W2148825261","https://openalex.org/W2159128898","https://openalex.org/W2208938455","https://openalex.org/W3029645440","https://openalex.org/W4237640996","https://openalex.org/W4293775970","https://openalex.org/W6681723013","https://openalex.org/W7035737722"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"As":[0],"a":[1,28],"well":[2],"known":[3,36],"fixed-point":[4],"iteration":[5],"algorithm":[6,23],"for":[7],"kernel":[8],"density":[9],"mode-seeking,":[10],"mean-shift":[11,22,53,70],"has":[12],"attracted":[13],"wide":[14],"attention":[15],"in":[16,27,74,98],"pattern":[17],"recognition":[18],"field.":[19],"To":[20],"date,":[21],"is":[24,86],"typically":[25],"implemented":[26],"batch":[29],"way":[30],"with":[31,56],"the":[32,50,65,83,92,96],"entire":[33],"data":[34],"set":[35],"at":[37],"once.":[38],"In":[39],"this":[40],"paper,":[41],"based":[42],"on":[43],"stochastic":[44,51],"gradient":[45,52],"optimization":[46],"technique,":[47],"we":[48],"present":[49],"(SG-MS)":[54],"along":[55],"its":[57],"approximation":[58],"performance":[59],"analysis.":[60],"We":[61],"apply":[62],"SG-MS":[63],"to":[64],"speedup":[66],"of":[67],"Gaussian":[68],"blurring":[69],"(GBMS)":[71],"clustering.":[72],"Experiments":[73],"toy":[75],"problems":[76],"and":[77,90],"image":[78],"segmentation":[79],"show":[80],"that,":[81],"while":[82],"clustering":[84],"accuracy":[85],"comparable":[87],"between":[88],"SG-GBMS":[89],"Naive-GBMS,":[91],"former":[93],"significantly":[94],"outperforms":[95],"latter":[97],"running":[99],"time.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}