{"id":"https://openalex.org/W2566312427","doi":"https://doi.org/10.1109/btas.2016.7791185","title":"Subspace learning via low rank projections for dimensionality reduction","display_name":"Subspace learning via low rank projections for dimensionality reduction","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2566312427","doi":"https://doi.org/10.1109/btas.2016.7791185","mag":"2566312427"},"language":"en","primary_location":{"id":"doi:10.1109/btas.2016.7791185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2016.7791185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-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/A5000111662","display_name":"Devansh Arpit","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Devansh Arpit","raw_affiliation_strings":["SUNY Buffalo"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091385020","display_name":"Chetan Ramaiah","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chetan Ramaiah","raw_affiliation_strings":["SUNY Buffalo"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020354604","display_name":"Venu Govindaraju","orcid":"https://orcid.org/0000-0002-5318-7409"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]},{"id":"https://openalex.org/I115441956","display_name":"Buffalo State University","ror":"https://ror.org/05ms04m92","country_code":"US","type":"education","lineage":["https://openalex.org/I115441956"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venu Govindaraju","raw_affiliation_strings":["SUNY Buffalo"],"affiliations":[{"raw_affiliation_string":"SUNY Buffalo","institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000111662"],"corresponding_institution_ids":["https://openalex.org/I115441956","https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14803765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9907000064849854,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9661999940872192,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.867074191570282},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8286257982254028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712138652801514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6346056461334229},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6151113510131836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5672297477722168},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5064500570297241},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.49874138832092285},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4942179024219513},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4830473065376282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4643682837486267},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4306633472442627},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.42876917123794556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3591681122779846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21943160891532898}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.867074191570282},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8286257982254028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712138652801514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6346056461334229},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6151113510131836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5672297477722168},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5064500570297241},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.49874138832092285},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4942179024219513},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4830473065376282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4643682837486267},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4306633472442627},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.42876917123794556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3591681122779846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21943160891532898},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/btas.2016.7791185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/btas.2016.7791185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS)","raw_type":"proceedings-article"},{"id":"mag:2747646619","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702273414287348","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1988219946","https://openalex.org/W2003217181","https://openalex.org/W2053186076","https://openalex.org/W2097308346","https://openalex.org/W2103250033","https://openalex.org/W2107654046","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2132788060","https://openalex.org/W2137570937","https://openalex.org/W2155759509","https://openalex.org/W2963654369","https://openalex.org/W6603183647","https://openalex.org/W6663752885","https://openalex.org/W6675955514","https://openalex.org/W6679768017"],"related_works":["https://openalex.org/W2375574759","https://openalex.org/W2383239174","https://openalex.org/W3088634662","https://openalex.org/W117517268","https://openalex.org/W1995622179","https://openalex.org/W2539700568","https://openalex.org/W2931531042","https://openalex.org/W1489327846","https://openalex.org/W2166963679","https://openalex.org/W3162910294"],"abstract_inverted_index":{"Subspace":[0],"learning":[1,51],"algorithms":[2,52],"aim":[3],"at":[4,16],"finding":[5],"low":[6,33],"dimensional":[7,34],"linear":[8],"manifolds":[9],"that":[10,26],"are":[11],"representative":[12],"of":[13,66,91],"the":[14,55,64,88],"data":[15,106],"hand.":[17],"In":[18],"this":[19],"paper":[20],"we":[21,86,100],"propose":[22],"a":[23,32],"semi-supervised":[24],"approach":[25,41],"fits":[27],"any":[28],"given":[29],"dataset":[30],"to":[31,63,112],"subspace":[35,50],"while":[36],"maintaining":[37],"class":[38,89],"separability.":[39],"Our":[40],"has":[42],"no":[43],"tunable":[44],"parameters":[45],"as":[46,73,75],"against":[47],"many":[48],"existing":[49,114],"which":[53],"obviates":[54],"need":[56],"for":[57],"cross-validation.":[58],"We":[59,69],"apply":[60],"our":[61],"algorithm":[62],"problem":[65],"face":[67],"recognition.":[68],"perform":[70,101],"both":[71],"qualitative":[72,84],"well":[74],"quantitative":[76,98],"experiments":[77,103],"on":[78,104],"multiple":[79],"real":[80],"world":[81],"datasets.":[82],"For":[83,97],"analysis":[85],"visualize":[87],"separability":[90],"binary":[92],"and":[93,107],"multi-class":[94],"projected":[95,105],"data.":[96],"analysis,":[99],"classification":[102],"achieve":[108],"state-of-the-art":[109],"results":[110],"compared":[111],"popular":[113],"dimensionality":[115],"reduction":[116],"methods.":[117]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}