{"id":"https://openalex.org/W3082865982","doi":"https://doi.org/10.1109/access.2020.3020844","title":"Image Clustering Based on Multi-Scale Deep Maximize Mutual Information and Self-Training Algorithm","display_name":"Image Clustering Based on Multi-Scale Deep Maximize Mutual Information and Self-Training Algorithm","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3082865982","doi":"https://doi.org/10.1109/access.2020.3020844","mag":"3082865982"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3020844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184041.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184041.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078777084","display_name":"Siquan Yu","orcid":"https://orcid.org/0000-0003-2513-9175"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siquan Yu","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2513-9175","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032303018","display_name":"Guiping Shen","orcid":"https://orcid.org/0000-0002-7288-8446"},"institutions":[{"id":"https://openalex.org/I4210108113","display_name":"Yango University","ror":"https://ror.org/01eqh1863","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiping Shen","raw_affiliation_strings":["College of Artificial Intelligence, Yango University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7288-8446","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Yango University, Fuzhou, China","institution_ids":["https://openalex.org/I4210108113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721153","display_name":"Peiyao Wang","orcid":"https://orcid.org/0000-0002-2473-8777"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peiyao Wang","raw_affiliation_strings":["Shenyang Institute of Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2473-8777","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Technology, Shenyang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826616","display_name":"Yuning Wang","orcid":"https://orcid.org/0000-0002-9469-0836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuning Wang","raw_affiliation_strings":["PLA 32681, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-9469-0836","affiliations":[{"raw_affiliation_string":"PLA 32681, Shenyang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101399350","display_name":"Chengdong Wu","orcid":"https://orcid.org/0000-0001-5574-6932"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengdong Wu","raw_affiliation_strings":["Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5574-6932","affiliations":[{"raw_affiliation_string":"Faculty of Robot Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1917,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49077724,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"160285","last_page":"160296"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991999864578247,"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/cluster-analysis","display_name":"Cluster analysis","score":0.851283848285675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7049819231033325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6739886403083801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6589463949203491},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.588172972202301},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5228253602981567},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.47885844111442566},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4653148651123047},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45833685994148254},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42100590467453003},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.41105037927627563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34059423208236694}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.851283848285675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7049819231033325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6739886403083801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6589463949203491},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.588172972202301},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5228253602981567},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.47885844111442566},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4653148651123047},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45833685994148254},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42100590467453003},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.41105037927627563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34059423208236694},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3020844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184041.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:154b8fafbd9e46d0bd57fca20ca2e5e4","is_oa":true,"landing_page_url":"https://doaj.org/article/154b8fafbd9e46d0bd57fca20ca2e5e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 160285-160296 (2020)","raw_type":"article"},{"id":"pmh:oai:ir.sia.cn/:173321/27921","is_oa":false,"landing_page_url":"http://ir.sia.cn/handle/173321/27921","pdf_url":null,"source":{"id":"https://openalex.org/S4377196984","display_name":"SIA OpenIR (Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I19820366","host_organization_name":"Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I19820366"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3020844","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3020844","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184041.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3082865982.pdf","grobid_xml":"https://content.openalex.org/works/W3082865982.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1108280307","https://openalex.org/W1533861849","https://openalex.org/W1968817125","https://openalex.org/W1990895816","https://openalex.org/W2005750530","https://openalex.org/W2013029404","https://openalex.org/W2073459066","https://openalex.org/W2098318489","https://openalex.org/W2104170135","https://openalex.org/W2110798204","https://openalex.org/W2118858186","https://openalex.org/W2136922672","https://openalex.org/W2140413566","https://openalex.org/W2152322845","https://openalex.org/W2165835468","https://openalex.org/W2169658215","https://openalex.org/W2188484319","https://openalex.org/W2254039850","https://openalex.org/W2419501139","https://openalex.org/W2549070790","https://openalex.org/W2556467266","https://openalex.org/W2590427356","https://openalex.org/W2608862709","https://openalex.org/W2741943936","https://openalex.org/W2750384547","https://openalex.org/W2755992512","https://openalex.org/W2765550594","https://openalex.org/W2765741717","https://openalex.org/W2779692282","https://openalex.org/W2782762890","https://openalex.org/W2784962210","https://openalex.org/W2788284887","https://openalex.org/W2798261681","https://openalex.org/W2808466528","https://openalex.org/W2809034148","https://openalex.org/W2884851420","https://openalex.org/W2885076431","https://openalex.org/W2887997457","https://openalex.org/W2902746003","https://openalex.org/W2935850529","https://openalex.org/W2962852342","https://openalex.org/W2964015378","https://openalex.org/W2964074409","https://openalex.org/W2997770686","https://openalex.org/W2999320175","https://openalex.org/W3022798432","https://openalex.org/W3026748450","https://openalex.org/W3026765630","https://openalex.org/W3037261029","https://openalex.org/W3118608800","https://openalex.org/W4288348115","https://openalex.org/W6631943919","https://openalex.org/W6668990524","https://openalex.org/W6675679986","https://openalex.org/W6676481782","https://openalex.org/W6677919164","https://openalex.org/W6685380521","https://openalex.org/W6717434760","https://openalex.org/W6726873649","https://openalex.org/W6730333270","https://openalex.org/W6743688258","https://openalex.org/W6747621668","https://openalex.org/W6748483046","https://openalex.org/W6750409446","https://openalex.org/W6753349912","https://openalex.org/W6762999174","https://openalex.org/W6772338465","https://openalex.org/W6775638101","https://openalex.org/W6776598537","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W3144143113","https://openalex.org/W3022637481","https://openalex.org/W3120229345","https://openalex.org/W3088133960","https://openalex.org/W3039964395","https://openalex.org/W2371010743","https://openalex.org/W2607902515","https://openalex.org/W2393707058","https://openalex.org/W2170078080","https://openalex.org/W2050713761"],"abstract_inverted_index":{"Image":[0],"clustering":[1,69,79,112,162,189],"is":[2,7,53,167],"a":[3,62,77,111,137,161,164,184],"complex":[4],"procedure":[5],"that":[6],"significantly":[8],"affected":[9],"by":[10,23],"the":[11,14,45,49,56,68,90,122,130,141,146,150,155,171],"choice":[12],"of":[13,48,61,125,178,186],"image":[15,19,85,126,160,188],"representation.":[16],"Generally":[17],"speaking,":[18,119],"representations":[20],"are":[21,96,181],"generated":[22],"using":[24],"handcraft":[25],"features":[26,52],"or":[27],"trained":[28,63],"neural":[29],"networks.":[30],"When":[31],"dealing":[32],"with":[33],"high":[34],"dimension":[35],"data,":[36,127],"these":[37,73],"two":[38,42],"representation":[39,46,86,99,124],"methods":[40],"cause":[41],"problems:":[43],"i)":[44],"ability":[47],"manually":[50],"designed":[51],"limited;":[54],"ii)":[55],"non-representative":[57],"and":[58,87,110,135,149,157,176],"meaningless":[59],"feature":[60],"deep":[64],"network":[65],"may":[66],"hurt":[67],"performance.":[70],"To":[71,153],"overcome":[72],"problems,":[74],"we":[75,128],"propose":[76,136],"new":[78],"method":[80,101,113],"which":[81],"efficiently":[82],"builds":[83],"an":[84,97],"precisely":[88],"discovers":[89],"cluster":[91,170],"assignments.":[92],"Our":[93],"main":[94],"tools":[95],"unsupervised":[98],"learning":[100],"based":[102,114],"on":[103,115],"Deep":[104],"Mutual":[105],"Information":[106],"Maximization":[107],"(DMIM)":[108],"system,":[109],"self-training":[116,165],"algorithm.":[117],"Specifically":[118],"to":[120,139,169],"extract":[121],"informative":[123],"derive":[129],"maximum":[131,142],"mutual":[132,143],"information":[133,144],"theory":[134],"system":[138],"learn":[140],"between":[145],"input":[147],"images":[148],"latent":[151],"representations.":[152,173],"discover":[154],"clusters":[156],"assign":[158],"each":[159],"label,":[163],"mechanism":[166],"applied":[168],"learned":[172],"The":[174],"superiority":[175],"validity":[177],"our":[179],"algorithm":[180],"verified":[182],"in":[183],"series":[185],"real-world":[187],"experiments.":[190]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}