{"id":"https://openalex.org/W2295765669","doi":"https://doi.org/10.1109/tpami.2015.2497686","title":"Local Feature Discriminant Projection","display_name":"Local Feature Discriminant Projection","publication_year":2015,"publication_date":"2015-11-04","ids":{"openalex":"https://openalex.org/W2295765669","doi":"https://doi.org/10.1109/tpami.2015.2497686","mag":"2295765669","pmid":"https://pubmed.ncbi.nlm.nih.gov/26552074"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2015.2497686","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2497686","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tpami.2015.2497686","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103093144","display_name":"Mengyang Yu","orcid":"https://orcid.org/0000-0003-1191-429X"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mengyang Yu","raw_affiliation_strings":["Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, United Kingdom","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026486701","display_name":"Xiantong Zhen","orcid":"https://orcid.org/0000-0001-5213-0462"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiantong Zhen","raw_affiliation_strings":["Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102013345","display_name":"Xiaofei He","orcid":"https://orcid.org/0009-0001-9107-2354"},"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":"Xiaofei He","raw_affiliation_strings":["State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of CAD&CG, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103093144"],"corresponding_institution_ids":["https://openalex.org/I32394136"],"apc_list":null,"apc_paid":null,"fwci":5.4293,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97189711,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"38","issue":"9","first_page":"1908","last_page":"1914"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8011428117752075},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7545673847198486},{"id":"https://openalex.org/keywords/orthogonalization","display_name":"Orthogonalization","score":0.7488906979560852},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7396250367164612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379845976829529},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6131754517555237},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5822718143463135},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5666841864585876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.501716136932373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4702894687652588},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46322348713874817},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4512849450111389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4353076219558716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20541071891784668}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8011428117752075},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7545673847198486},{"id":"https://openalex.org/C47559304","wikidata":"https://www.wikidata.org/wiki/Q1702189","display_name":"Orthogonalization","level":2,"score":0.7488906979560852},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7396250367164612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379845976829529},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6131754517555237},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5822718143463135},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5666841864585876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.501716136932373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4702894687652588},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46322348713874817},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4512849450111389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4353076219558716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20541071891784668},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2015.2497686","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2497686","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:26552074","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26552074","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 pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:nrl.northumbria.ac.uk:25423","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/tpami.2015.2497686","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2015.2497686","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"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/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2353850810","display_name":null,"funder_award_id":"61528106","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/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/G846649072","display_name":null,"funder_award_id":"6152810","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311737","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W35663053","https://openalex.org/W1488783102","https://openalex.org/W1502638562","https://openalex.org/W1606858007","https://openalex.org/W1902024696","https://openalex.org/W1944630830","https://openalex.org/W1954309418","https://openalex.org/W1976208764","https://openalex.org/W1991390949","https://openalex.org/W1992159177","https://openalex.org/W1999192586","https://openalex.org/W2001141328","https://openalex.org/W2007178811","https://openalex.org/W2050067493","https://openalex.org/W2053186076","https://openalex.org/W2065494927","https://openalex.org/W2094618318","https://openalex.org/W2097018403","https://openalex.org/W2097703723","https://openalex.org/W2101350717","https://openalex.org/W2103250033","https://openalex.org/W2104294146","https://openalex.org/W2110628941","https://openalex.org/W2113606819","https://openalex.org/W2114217318","https://openalex.org/W2117513046","https://openalex.org/W2119853387","https://openalex.org/W2121238376","https://openalex.org/W2129326773","https://openalex.org/W2135346934","https://openalex.org/W2137570937","https://openalex.org/W2145072179","https://openalex.org/W2147238549","https://openalex.org/W2147625498","https://openalex.org/W2151103935","https://openalex.org/W2152161678","https://openalex.org/W2153934661","https://openalex.org/W2154624311","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2162915993","https://openalex.org/W2166473218","https://openalex.org/W2166742463","https://openalex.org/W2167451801","https://openalex.org/W2170536761","https://openalex.org/W2312392170","https://openalex.org/W2798909945","https://openalex.org/W6636412649","https://openalex.org/W6639926674","https://openalex.org/W6640451712","https://openalex.org/W6674642818","https://openalex.org/W6674920064","https://openalex.org/W6675955514","https://openalex.org/W6676903177","https://openalex.org/W6679431263","https://openalex.org/W6681554747","https://openalex.org/W6682644385","https://openalex.org/W6682755970","https://openalex.org/W6683047094","https://openalex.org/W6684116732"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2794812819","https://openalex.org/W2114217318","https://openalex.org/W3147024994","https://openalex.org/W1978302214","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W1995622179"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,70,93],"propose":[4,94],"a":[5,29,50,95,105],"novel":[6,43],"subspace":[7,30,53,80],"learning":[8,54,81],"algorithm":[9,55],"called":[10],"Local":[11],"Feature":[12],"Discriminant":[13,75],"Projection":[14],"(LFDP)":[15],"for":[16,38,61,139],"supervised":[17,52],"dimensionality":[18,62,132],"reduction":[19,63,133],"of":[20,35,64,82],"local":[21,36,66,83],"features.":[22],"LFDP":[23,48,129],"is":[24,49],"able":[25],"to":[26,31,78,99,104],"efficiently":[27],"seek":[28],"improve":[32],"the":[33,46,72,79,88,127],"discriminability":[34],"features":[37],"classification.":[39,141],"We":[40],"make":[41],"three":[42,116],"contributions.":[44],"First,":[45],"proposed":[47,128],"general":[51],"which":[56,86],"provides":[57],"an":[58],"efficient":[59],"way":[60],"large-scale":[65],"feature":[67,84],"descriptors.":[68],"Second,":[69],"introduce":[71],"Differential":[73],"Scatter":[74],"Criterion":[76],"(DSDC)":[77],"descriptors":[85],"avoids":[87],"matrix":[89],"singularity":[90],"problem.":[91],"Third,":[92],"generalized":[96],"orthogonalization":[97],"method":[98],"impose":[100],"on":[101,115],"projections,":[102],"leading":[103],"more":[106],"compact":[107],"and":[108,122,135],"less":[109],"redundant":[110],"subspace.":[111],"Extensive":[112],"experimental":[113],"validation":[114],"benchmark":[117],"datasets":[118],"including":[119],"UIUC-Sports,":[120],"Scene-15":[121],"MIT":[123],"Indoor":[124],"demonstrates":[125],"that":[126],"outperforms":[130],"other":[131],"methods":[134],"achieves":[136],"state-of-the-art":[137],"performance":[138],"image":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
