{"id":"https://openalex.org/W2791459777","doi":"https://doi.org/10.1109/tnnls.2018.2796133","title":"Approximate Low-Rank Projection Learning for Feature Extraction","display_name":"Approximate Low-Rank Projection Learning for Feature Extraction","publication_year":2018,"publication_date":"2018-02-12","ids":{"openalex":"https://openalex.org/W2791459777","doi":"https://doi.org/10.1109/tnnls.2018.2796133","mag":"2791459777","pmid":"https://pubmed.ncbi.nlm.nih.gov/29994377"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2018.2796133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2796133","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/30693","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052008856","display_name":"Xiaozhao Fang","orcid":"https://orcid.org/0000-0001-8440-1765"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhao Fang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8440-1765","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050428376","display_name":"Na Han","orcid":"https://orcid.org/0000-0002-9639-7633"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Han","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9639-7633","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060755096","display_name":"Jigang Wu","orcid":"https://orcid.org/0000-0002-6470-9794"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Wu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6470-9794","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-0530-2123","affiliations":[{"raw_affiliation_string":"Key Laboratory of Network Oriented Intelligent Computation, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wai Keung Wong","orcid":"https://orcid.org/0000-0002-4388-3080"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wai Keung Wong","raw_affiliation_strings":["The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4388-3080","affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I182722699","https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.6206,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.99457745,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"29","issue":"11","first_page":"5228","last_page":"5241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7988457679748535},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7428130507469177},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7271432876586914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7078494429588318},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5961427092552185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5908225178718567},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.581576943397522},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5719295740127563},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5687388777732849},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5080664157867432},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.44970273971557617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3094743490219116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10256695747375488}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7988457679748535},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7428130507469177},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7271432876586914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7078494429588318},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5961427092552185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5908225178718567},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.581576943397522},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5719295740127563},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5687388777732849},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5080664157867432},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.44970273971557617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3094743490219116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10256695747375488},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2018.2796133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2018.2796133","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:29994377","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29994377","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:ir.opt.ac.cn:181661/30693","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/30693","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/30693","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/30693","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G3878400266","display_name":null,"funder_award_id":"61573248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4198728212","display_name":null,"funder_award_id":"17ZK0422","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5371446094","display_name":null,"funder_award_id":"61703283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5454390423","display_name":null,"funder_award_id":"61375012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6875080053","display_name":"\u57fa\u4e8e\u9c81\u68d2\u8868\u793a\u7684\u8fc1\u79fb\u5b66\u4e60\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61772141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G739080721","display_name":null,"funder_award_id":"1-YW1C","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"},{"id":"https://openalex.org/G7524108349","display_name":null,"funder_award_id":"61761130079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7685673599","display_name":null,"funder_award_id":"61773328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W129703402","https://openalex.org/W1166921479","https://openalex.org/W1566135517","https://openalex.org/W1576445103","https://openalex.org/W1591385104","https://openalex.org/W1649622209","https://openalex.org/W1652450286","https://openalex.org/W1963932623","https://openalex.org/W1964512344","https://openalex.org/W1974042113","https://openalex.org/W1975900269","https://openalex.org/W1981781955","https://openalex.org/W1982405594","https://openalex.org/W1993229407","https://openalex.org/W1997201895","https://openalex.org/W2001619934","https://openalex.org/W2006793117","https://openalex.org/W2013015287","https://openalex.org/W2020163092","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2063153269","https://openalex.org/W2065220650","https://openalex.org/W2086962710","https://openalex.org/W2090042335","https://openalex.org/W2097018403","https://openalex.org/W2097486709","https://openalex.org/W2097622337","https://openalex.org/W2103250033","https://openalex.org/W2107034620","https://openalex.org/W2108119513","https://openalex.org/W2111427896","https://openalex.org/W2117553576","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2130951397","https://openalex.org/W2132467081","https://openalex.org/W2138424157","https://openalex.org/W2141607429","https://openalex.org/W2145152441","https://openalex.org/W2145406111","https://openalex.org/W2145962650","https://openalex.org/W2158003450","https://openalex.org/W2160547390","https://openalex.org/W2162881463","https://openalex.org/W2162915993","https://openalex.org/W2163112044","https://openalex.org/W2165828254","https://openalex.org/W2166742463","https://openalex.org/W2338953098","https://openalex.org/W2343962831","https://openalex.org/W2468752595","https://openalex.org/W2538419421","https://openalex.org/W2612496192","https://openalex.org/W2625891738","https://openalex.org/W2798766386","https://openalex.org/W2963630677","https://openalex.org/W4230344464","https://openalex.org/W6605295242","https://openalex.org/W6634343353","https://openalex.org/W6635552349","https://openalex.org/W6653944615","https://openalex.org/W6674642818","https://openalex.org/W6675955514","https://openalex.org/W7075742223"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W2120164251","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353"],"abstract_inverted_index":{"Feature":[0],"extraction":[1,13,29,186,196],"plays":[2],"a":[3,150],"significant":[4],"role":[5],"in":[6,21,39,65,105,121,147,152,229],"pattern":[7],"recognition.":[8],"Recently,":[9],"many":[10,22,232],"representation-based":[11],"feature":[12,28,66,185,195,221],"methods":[14],"have":[15],"been":[16,96],"proposed":[17],"and":[18,84,219,223],"achieved":[19,228],"successes":[20],"applications.":[23],"As":[24],"an":[25,88],"excellent":[26],"unsupervised":[27,89,218],"method,":[30,90],"latent":[31],"low-rank":[32,70,119,145],"representation":[33],"(LatLRR)":[34],"has":[35,45,94],"shown":[36],"its":[37],"power":[38],"extracting":[40],"salient":[41],"features.":[42,174],"However,":[43],"LatLRR":[44,57,86,122,148,178],"the":[46,51,77,99,118,125,143,153,167,180,188,192,201,205],"following":[47],"three":[48],"disadvantages:":[49],"1)":[50],"dimension":[52,126],"of":[53,127,155,194],"features":[54,129,207],"obtained":[55,128,168],"using":[56],"cannot":[58],"be":[59,82,131,162],"reduced,":[60,132],"which":[61,91,133],"is":[62,87,134,197],"not":[63,81,95],"preferred":[64],"extraction;":[67],"2)":[68],"two":[69,113,144],"matrices":[71,115,146],"are":[72,208,212,227],"separately":[73],"learned":[74],"so":[75,123,165,203],"that":[76,124,166,204],"overall":[78],"optimality":[79],"may":[80],"guaranteed;":[83],"3)":[85],"by":[92,183],"far":[93],"extended":[97],"to":[98,111,116,179,200],"supervised":[100,181,220],"scenario.":[101],"To":[102],"this":[103,106,158],"end,":[104],"paper,":[107],"we":[108,141,176],"first":[109],"propose":[110],"use":[112],"different":[114,215],"approximate":[117],"projection":[120,169],"can":[130,161,170],"more":[135,172],"flexible":[136],"than":[137],"original":[138],"LatLRR.":[139],"Then,":[140],"treat":[142],"as":[149],"whole":[151],"process":[154,193],"learning.":[156],"In":[157],"way,":[159],"they":[160],"boosted":[163],"mutually":[164],"extract":[171],"discriminative":[173],"Finally,":[175],"extend":[177],"scenario":[182],"integrating":[184],"with":[187,231],"ridge":[189],"regression.":[190],"Thus,":[191],"closely":[198],"related":[199],"classification":[202],"extracted":[206],"discriminative.":[209],"Extensive":[210],"experiments":[211],"conducted":[213],"on":[214],"databases":[216],"for":[217],"extraction,":[222],"very":[224],"encouraging":[225],"results":[226],"comparison":[230],"state-of-the-arts":[233],"methods.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
