{"id":"https://openalex.org/W2809465549","doi":"https://doi.org/10.1109/lsp.2018.2849590","title":"A Low Tensor-Rank Representation Approach for Clustering of Imaging Data","display_name":"A Low Tensor-Rank Representation Approach for Clustering of Imaging Data","publication_year":2018,"publication_date":"2018-06-21","ids":{"openalex":"https://openalex.org/W2809465549","doi":"https://doi.org/10.1109/lsp.2018.2849590","mag":"2809465549"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2849590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2849590","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5101994751","display_name":"Tong Wu","orcid":"https://orcid.org/0000-0002-8935-1629"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers University\u2013New Brunswick, New Brunswick, USA"],"raw_orcid":"https://orcid.org/0000-0002-8935-1629","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University\u2013New Brunswick, New Brunswick, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028718006","display_name":"Waheed U. Bajwa","orcid":"https://orcid.org/0000-0003-4406-5263"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Waheed U. Bajwa","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers University\u2013New Brunswick, New Brunswick, USA"],"raw_orcid":"https://orcid.org/0000-0003-4406-5263","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University\u2013New Brunswick, New Brunswick, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":2.4092,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.88319088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"25","issue":"8","first_page":"1196","last_page":"1200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9876999855041504,"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":0.983299970626831,"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/tensor","display_name":"Tensor (intrinsic definition)","score":0.7272672653198242},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7017252445220947},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.587549090385437},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5638789534568787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5545265078544617},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5533515810966492},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.504906952381134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.443930447101593},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.44012144207954407},{"id":"https://openalex.org/keywords/matrix-representation","display_name":"Matrix representation","score":0.4383350610733032},{"id":"https://openalex.org/keywords/flattening","display_name":"Flattening","score":0.42840296030044556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4281502664089203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41283249855041504},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14385095238685608},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11477851867675781},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.08008995652198792},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07349246740341187},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07251125574111938}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7272672653198242},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7017252445220947},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.587549090385437},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5638789534568787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5545265078544617},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5533515810966492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.504906952381134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.443930447101593},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44012144207954407},{"id":"https://openalex.org/C103275481","wikidata":"https://www.wikidata.org/wiki/Q6787889","display_name":"Matrix representation","level":3,"score":0.4383350610733032},{"id":"https://openalex.org/C19444555","wikidata":"https://www.wikidata.org/wiki/Q212750","display_name":"Flattening","level":2,"score":0.42840296030044556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4281502664089203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41283249855041504},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14385095238685608},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11477851867675781},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.08008995652198792},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07349246740341187},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07251125574111938},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2018.2849590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2849590","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:alma.01RUT_INST:11664836130004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/journalArticle/A-Low-Tensor-Rank-Representation-Approach-for/991031665009604646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1600471557","https://openalex.org/W1736339626","https://openalex.org/W1992426838","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2006808740","https://openalex.org/W2018759642","https://openalex.org/W2030927653","https://openalex.org/W2043571470","https://openalex.org/W2057538344","https://openalex.org/W2065220650","https://openalex.org/W2085789144","https://openalex.org/W2111391812","https://openalex.org/W2112796928","https://openalex.org/W2131335073","https://openalex.org/W2150414161","https://openalex.org/W2165874743","https://openalex.org/W2177347332","https://openalex.org/W2197707282","https://openalex.org/W2341857492","https://openalex.org/W2469230926","https://openalex.org/W2522038268","https://openalex.org/W2522069055","https://openalex.org/W2551959075","https://openalex.org/W2561426102","https://openalex.org/W2565835729","https://openalex.org/W2751253323","https://openalex.org/W2964034664","https://openalex.org/W2964214749","https://openalex.org/W4235618170","https://openalex.org/W4301909677","https://openalex.org/W6635884019","https://openalex.org/W6676579680","https://openalex.org/W6679591791","https://openalex.org/W6684578312","https://openalex.org/W6703925152","https://openalex.org/W6729482387","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2569661359","https://openalex.org/W2781510240","https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W2216309014","https://openalex.org/W4290987221","https://openalex.org/W3199841771"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"an":[3,74],"algorithm":[4,18,86],"for":[5],"clustering":[6],"of":[7,11,44,83],"two-dimensional":[8],"data.":[9],"Instead":[10],"\u201cflattening\u201d":[12],"data":[13],"into":[14],"vectors,":[15],"the":[16,38,66,79,84],"proposed":[17,85],"keeps":[19],"samples":[20,39],"as":[21,26],"matrices":[22],"and":[23,47,61,87],"stores":[24],"them":[25],"lateral":[27],"slices":[28],"in":[29],"a":[30,42,57,62],"third-order":[31],"tensor.":[32,68,81],"It":[33],"is":[34,70],"then":[35],"assumed":[36],"that":[37],"lie":[40],"near":[41],"union":[43],"free":[45],"submodules":[46],"their":[48],"representations":[49],"under":[50],"this":[51],"model":[52],"are":[53,93],"obtained":[54],"by":[55],"imposing":[56],"low":[58],"tensor-rank":[59],"constraint":[60,64],"structural":[63],"on":[65,97],"representation":[67,80],"Clustering":[69],"carried":[71],"out":[72],"using":[73],"affinity":[75],"matrix":[76],"calculated":[77],"from":[78],"Effectiveness":[82],"its":[88],"superiority":[89],"over":[90],"existing":[91],"methods":[92],"demonstrated":[94],"through":[95],"experiments":[96],"two":[98],"image":[99],"datasets.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}