{"id":"https://openalex.org/W2978771385","doi":"https://doi.org/10.1109/access.2019.2944426","title":"Low-Rank Tensor Thresholding Ridge Regression","display_name":"Low-Rank Tensor Thresholding Ridge Regression","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2978771385","doi":"https://doi.org/10.1109/access.2019.2944426","mag":"2978771385"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2944426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08852636.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/ielx7/6287639/8600701/08852636.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072766893","display_name":"Kailing Guo","orcid":"https://orcid.org/0000-0003-4753-9022"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kailing Guo","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378800","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-7025-6365"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007354180","display_name":"Xiangmin Xu","orcid":"https://orcid.org/0000-0003-4573-5820"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Xu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036301580","display_name":"Xiaofen Xing","orcid":"https://orcid.org/0000-0002-0016-9055"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofen Xing","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072766893"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.08791209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"153761","last_page":"153772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9976999759674072,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6781154870986938},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6337159872055054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6223586797714233},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5781683921813965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5752378106117249},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5737612247467041},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5151635408401489},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.506253182888031},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.46878090500831604},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.46579158306121826},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4486958980560303},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4365467429161072},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42553460597991943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40902483463287354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21856364607810974},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.0812673270702362},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07674473524093628},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07668328285217285}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6781154870986938},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6337159872055054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223586797714233},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5781683921813965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752378106117249},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5737612247467041},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5151635408401489},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.506253182888031},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.46878090500831604},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.46579158306121826},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4486958980560303},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4365467429161072},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42553460597991943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40902483463287354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21856364607810974},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0812673270702362},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07674473524093628},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07668328285217285},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2944426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08852636.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:4e13c325dd7a47848bbd6c3894499b6f","is_oa":true,"landing_page_url":"https://doaj.org/article/4e13c325dd7a47848bbd6c3894499b6f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 153761-153772 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2944426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08852636.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":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1973748903","display_name":null,"funder_award_id":"2018MS79","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2154319228","display_name":null,"funder_award_id":"61702192","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3049186252","display_name":null,"funder_award_id":"2018A03","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3357182245","display_name":null,"funder_award_id":"2019MS028","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3976346926","display_name":null,"funder_award_id":"2019MS028","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4074451388","display_name":null,"funder_award_id":"2019PY21","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"},{"id":"https://openalex.org/G4179873347","display_name":null,"funder_award_id":"2019PY21","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G420612141","display_name":null,"funder_award_id":"U1801262","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4306649430","display_name":null,"funder_award_id":"U1636218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4909950320","display_name":null,"funder_award_id":"U18012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5029846496","display_name":null,"funder_award_id":"U163621","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G520150314","display_name":null,"funder_award_id":"2018A030313474","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6580351168","display_name":null,"funder_award_id":"2018MS79","funder_id":"https://openalex.org/F4320321392","funder_display_name":"Northwestern Polytechnical University"},{"id":"https://openalex.org/G6875286693","display_name":null,"funder_award_id":"2018A030313474","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7622166304","display_name":null,"funder_award_id":"6170219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8161837370","display_name":null,"funder_award_id":"61802131","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G997769002","display_name":null,"funder_award_id":"2018M630944","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2978771385.pdf","grobid_xml":"https://content.openalex.org/works/W2978771385.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W1600471557","https://openalex.org/W1884731728","https://openalex.org/W1931947167","https://openalex.org/W1968154520","https://openalex.org/W1981458038","https://openalex.org/W1985529709","https://openalex.org/W1989550328","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2017441234","https://openalex.org/W2024165284","https://openalex.org/W2031049553","https://openalex.org/W2056303209","https://openalex.org/W2083177649","https://openalex.org/W2102892751","https://openalex.org/W2103560185","https://openalex.org/W2118120419","https://openalex.org/W2123921160","https://openalex.org/W2126761607","https://openalex.org/W2140803156","https://openalex.org/W2142077116","https://openalex.org/W2145962650","https://openalex.org/W2151103935","https://openalex.org/W2161969291","https://openalex.org/W2197707282","https://openalex.org/W2219752407","https://openalex.org/W2262946425","https://openalex.org/W2296131993","https://openalex.org/W2344260814","https://openalex.org/W2344457357","https://openalex.org/W2410894298","https://openalex.org/W2571899125","https://openalex.org/W2601492653","https://openalex.org/W2607764799","https://openalex.org/W2622869899","https://openalex.org/W2736399023","https://openalex.org/W2782747699","https://openalex.org/W2809034148","https://openalex.org/W2891022285","https://openalex.org/W2893830906","https://openalex.org/W2897874959","https://openalex.org/W2901373116","https://openalex.org/W2904965361","https://openalex.org/W2909756869","https://openalex.org/W2918703174","https://openalex.org/W2942755646","https://openalex.org/W2948684212","https://openalex.org/W2950931631","https://openalex.org/W2952440547","https://openalex.org/W2956147459","https://openalex.org/W2963365397","https://openalex.org/W2963630677","https://openalex.org/W2963840432","https://openalex.org/W2964837208","https://openalex.org/W2965052154","https://openalex.org/W2970007912","https://openalex.org/W2979685515","https://openalex.org/W4229749918","https://openalex.org/W4250589301","https://openalex.org/W6640419445","https://openalex.org/W6647761816","https://openalex.org/W6677677282","https://openalex.org/W6680860885","https://openalex.org/W6681016373","https://openalex.org/W6688790339","https://openalex.org/W6697521581","https://openalex.org/W6732395776","https://openalex.org/W6744043827","https://openalex.org/W6762272015"],"related_works":["https://openalex.org/W3012376705","https://openalex.org/W2140439590","https://openalex.org/W1979094538","https://openalex.org/W4308344195","https://openalex.org/W4382052822","https://openalex.org/W2287240295","https://openalex.org/W4226139248","https://openalex.org/W2985124601","https://openalex.org/W3205251672","https://openalex.org/W2272768744"],"abstract_inverted_index":{"In":[0],"the":[1,33,40,47,54,60,77,84,88,92,114],"area":[2],"of":[3,32,39,53,63,83],"subspace":[4,109,120],"clustering,":[5],"methods":[6,24,44,122],"combining":[7],"self-representation":[8],"and":[9,29,50,91,95,123],"spectral":[10,102],"clustering":[11,110,121],"are":[12],"predominant":[13],"in":[14,86],"recent":[15,124],"years.":[16],"For":[17,36],"dealing":[18],"with":[19,71],"tensor":[20,64,68],"data,":[21,41,65],"most":[22,31,42],"existing":[23,43],"vectorize":[25],"them":[26],"into":[27],"vectors":[28],"lose":[30],"spatial":[34,61],"information.":[35],"removing":[37],"noise":[38,82],"focus":[45],"on":[46,106],"input":[48,89],"space":[49,90],"lack":[51],"consideration":[52],"projection":[55,93],"space.":[56],"Aiming":[57],"at":[58],"preserving":[59],"information":[62],"we":[66,80],"incorporate":[67],"mode-d":[69],"product":[70],"low-rank":[72],"matrices":[73],"for":[74,101],"self-representation.":[75],"At":[76],"same":[78],"time,":[79],"remove":[81],"data":[85],"both":[87,118],"space,":[94],"obtain":[96],"a":[97],"robust":[98],"affinity":[99],"matrix":[100],"clustering.":[103],"Extensive":[104],"experiments":[105],"several":[107],"popular":[108],"datasets":[111],"show":[112],"that":[113],"proposed":[115],"method":[116],"outperforms":[117],"traditional":[119],"state-of-the-art":[125],"deep":[126],"learning":[127],"methods.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
