{"id":"https://openalex.org/W2083976255","doi":"https://doi.org/10.1109/bigdata.2013.6691615","title":"Sparse Poisson coding for high dimensional document clustering","display_name":"Sparse Poisson coding for high dimensional document clustering","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2083976255","doi":"https://doi.org/10.1109/bigdata.2013.6691615","mag":"2083976255"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","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/A5036577787","display_name":"Chenxia Wu","orcid":"https://orcid.org/0000-0002-3645-2813"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenxia Wu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081662508","display_name":"Haiqin Yang","orcid":"https://orcid.org/0000-0001-5453-476X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqin Yang","raw_affiliation_strings":["Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China","Shenzhen Research Institute Chinese University of Hong Kong  Shenzhen China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute Chinese University of Hong Kong  Shenzhen China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062252650","display_name":"Jianke Zhu","orcid":"https://orcid.org/0000-0003-1831-0106"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianke Zhu","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041119793","display_name":"Jiemi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiemi Zhang","raw_affiliation_strings":["College of Computer Science, Zhejiang University, Hangzhou, China","College of Computer Science, Zhejiang University,,,Hangzhou,,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"College of Computer Science, Zhejiang University,,,Hangzhou,,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China","Shenzhen Research Institute Chinese University of Hong Kong  Shenzhen China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute Chinese University of Hong Kong  Shenzhen China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069596903","display_name":"Michael R. Lyu","orcid":"https://orcid.org/0000-0002-3666-5798"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Michael R. Lyu","raw_affiliation_strings":["Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China","Shenzhen Research Institute Chinese University of Hong Kong  Shenzhen China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute Chinese University of Hong Kong  Shenzhen China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036577787"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.3608,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84190308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"512","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6797184944152832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6476647853851318},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.48361483216285706},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.43210506439208984},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4113854169845581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34933221340179443},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24281388521194458},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17526689171791077}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6797184944152832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6476647853851318},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.48361483216285706},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.43210506439208984},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4113854169845581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34933221340179443},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24281388521194458},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17526689171791077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2013.6691615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1490256991","https://openalex.org/W1546409232","https://openalex.org/W1964983104","https://openalex.org/W1989975849","https://openalex.org/W2027922120","https://openalex.org/W2039044448","https://openalex.org/W2050892949","https://openalex.org/W2060711029","https://openalex.org/W2097064168","https://openalex.org/W2097892214","https://openalex.org/W2113606819","https://openalex.org/W2118718620","https://openalex.org/W2119183103","https://openalex.org/W2122922389","https://openalex.org/W2135029798","https://openalex.org/W2136635436","https://openalex.org/W2140086196","https://openalex.org/W2145406111","https://openalex.org/W2151777012","https://openalex.org/W2154034263","https://openalex.org/W2161592627","https://openalex.org/W2169658215","https://openalex.org/W2296319761","https://openalex.org/W2296616510","https://openalex.org/W2401912993","https://openalex.org/W2408538552","https://openalex.org/W3015755214","https://openalex.org/W3106237033","https://openalex.org/W4250589301","https://openalex.org/W4250955649","https://openalex.org/W6629268180","https://openalex.org/W6632885370","https://openalex.org/W6660252143","https://openalex.org/W6674664265","https://openalex.org/W6674939476","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6680652380","https://openalex.org/W6683716629","https://openalex.org/W6712955225","https://openalex.org/W6713960209","https://openalex.org/W6822831480","https://openalex.org/W7067072079"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W1488915263","https://openalex.org/W2019737068","https://openalex.org/W2899601636","https://openalex.org/W4254379378","https://openalex.org/W3015674157","https://openalex.org/W4206655101","https://openalex.org/W4237592971","https://openalex.org/W2387982377"],"abstract_inverted_index":{"Document":[0],"clustering":[1,196],"plays":[2],"an":[3],"important":[4,129],"role":[5],"in":[6,47,139],"large":[7],"scale":[8],"textual":[9,22,165],"data":[10],"analysis,":[11],"which":[12,108],"generally":[13],"faces":[14],"with":[15,88,198],"great":[16],"challenge":[17],"of":[18,62,91,111,131,142],"the":[19,29,34,58,79,89,99,125,132,140,158,162,176],"high":[20,163],"dimensional":[21,164],"data.":[23],"One":[24],"remedy":[25],"is":[26,75,135,172],"to":[27,40,56,77,97,150,174,184],"learn":[28],"high-level":[30],"sparse":[31,35,44,66,100],"representation":[32,193],"by":[33],"coding":[36,45],"techniques.":[37],"In":[38],"contrast":[39],"traditional":[41],"Gaussian":[42],"noise-based":[43],"methods,":[46],"this":[48],"paper,":[49],"we":[50,102],"employ":[51],"a":[52,63,69,104,167],"Poisson":[53,72,86],"distribution":[54],"model":[55],"represent":[57],"word-count":[59],"frequency":[60],"feature":[61],"text":[64],"for":[65,152,161,194],"coding.":[67],"Moreover,":[68],"novel":[70],"sparse-constrained":[71],"regression":[73,87,177,200],"algorithm":[74,159,171],"proposed":[76,173,188],"solve":[78,175],"induced":[80],"optimization":[81],"problem.":[82,178],"Different":[83],"from":[84],"previous":[85],"family":[90],"\u2113":[92,113,119],"<sub":[93,114,120],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[94,115,121],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[95,116],"-regularization":[96],"enhance":[98],"solution,":[101],"introduce":[103],"sparsity":[105,133],"ratio":[106,134],"measure":[107],"make":[109,157],"use":[110],"both":[112],"-norm":[117,123],"and":[118,144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[122],"on":[124],"learned":[126],"weight.":[127],"An":[128],"advantage":[130],"that":[136,186],"it":[137,148],"bounded":[138],"range":[141],"0":[143],"1.":[145],"This":[146],"makes":[147],"easy":[149],"set":[151],"practical":[153],"applications.":[154],"To":[155],"further":[156],"trackable":[160],"data,":[166],"projected":[168],"gradient":[169],"descent":[170],"Extensive":[179],"experiments":[180],"have":[181],"been":[182],"conducted":[183],"show":[185],"our":[187],"approach":[189],"can":[190],"achieve":[191],"effective":[192],"document":[195],"compared":[197],"state-of-the-art":[199],"methods.":[201]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}