{"id":"https://openalex.org/W2093496604","doi":"https://doi.org/10.1109/ijcnn.2014.6889365","title":"Hidden space discriminant neighborhood embedding","display_name":"Hidden space discriminant neighborhood embedding","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2093496604","doi":"https://doi.org/10.1109/ijcnn.2014.6889365","mag":"2093496604"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5046959149","display_name":"Chuntao Ding","orcid":"https://orcid.org/0000-0001-8362-8407"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuntao Ding","raw_affiliation_strings":["School of Computer Science and Technology & Provincial Key laboratory for Computer Information Processing, Soochow University, Suzhou, Jiangsu, China","Key Lab. for Comput. Inf. Process., Soochow Univ., Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology & Provincial Key laboratory for Computer Information Processing, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Key Lab. for Comput. Inf. Process., Soochow Univ., Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425448","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-7914-0679"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Computer Science and Technology & Provincial Key laboratory for Computer Information Processing, Soochow University, Suzhou, Jiangsu, China","Key Lab. for Comput. Inf. Process., Soochow Univ., Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology & Provincial Key laboratory for Computer Information Processing, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Key Lab. for Comput. Inf. Process., Soochow Univ., Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075719824","display_name":"Bangjun Wang","orcid":"https://orcid.org/0000-0003-1372-2486"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangjun Wang","raw_affiliation_strings":["School of Computer Science and Technology & Provincial Key laboratory for Computer Information Processing, Soochow University, Suzhou, Jiangsu, China","Key Lab. for Comput. Inf. Process., Soochow Univ., Suzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology & Provincial Key laboratory for Computer Information Processing, Soochow University, Suzhou, Jiangsu, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Key Lab. for Comput. Inf. Process., Soochow Univ., Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046959149"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.4878,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7068872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"271","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10057","display_name":"Face and Expression Recognition","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/T10320","display_name":"Neural Networks and Applications","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7032109498977661},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6940110921859741},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6632809638977051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5954226851463318},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5426949858665466},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5366067290306091},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5362827777862549},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5313907861709595},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5297071933746338},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.4942531883716583},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.48889389634132385},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48718422651290894},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.46848925948143005},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4535287022590637},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4485878646373749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44718655943870544},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.43173253536224365},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.40586650371551514},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.340015709400177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2970247268676758},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19550666213035583},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15883797407150269},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.11576882004737854},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0953880250453949}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7032109498977661},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6940110921859741},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6632809638977051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5954226851463318},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5426949858665466},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5366067290306091},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5362827777862549},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5313907861709595},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5297071933746338},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.4942531883716583},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.48889389634132385},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48718422651290894},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.46848925948143005},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4535287022590637},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4485878646373749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44718655943870544},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.43173253536224365},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.40586650371551514},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.340015709400177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2970247268676758},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19550666213035583},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15883797407150269},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.11576882004737854},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0953880250453949}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W91227773","https://openalex.org/W1510073064","https://openalex.org/W1563229119","https://openalex.org/W1970088130","https://openalex.org/W2001141328","https://openalex.org/W2021012145","https://openalex.org/W2053186076","https://openalex.org/W2069509612","https://openalex.org/W2097308346","https://openalex.org/W2103250033","https://openalex.org/W2108995755","https://openalex.org/W2114217318","https://openalex.org/W2121647436","https://openalex.org/W2134849720","https://openalex.org/W2134935984","https://openalex.org/W2135346934","https://openalex.org/W2140095548","https://openalex.org/W2154412566","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2170858770","https://openalex.org/W6603682396","https://openalex.org/W6675955514","https://openalex.org/W6680150360","https://openalex.org/W6680266532","https://openalex.org/W6682644385","https://openalex.org/W6682755970","https://openalex.org/W6682887448","https://openalex.org/W6685372642"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2117632582","https://openalex.org/W4388347373"],"abstract_inverted_index":{"Discriminant":[0],"neighborhood":[1,18,71,104],"embedding":[2,19,72],"(DNE)":[3],"algorithm":[4,75],"is":[5,21,115,138,155],"one":[6],"of":[7,93,106],"supervised":[8],"linear":[9],"dimensionality":[10],"reduction":[11],"methods.":[12],"Its":[13],"nonlinear":[14,63,94],"version":[15],"kernel":[16,51],"discriminant":[17,70],"(KDNE)":[20],"expected":[22],"to":[23,117,131,140],"behave":[24],"well":[25],"on":[26],"classification":[27,158],"tasks.":[28,159],"However,":[29],"since":[30],"KDNE":[31],"constructs":[32],"an":[33,100],"adjacent":[34,47,101],"graph":[35,42,102],"in":[36,49,80,109,127],"the":[37,40,46,50,78,81,107,110,125,128,152],"original":[38,82],"space,":[39,57],"adjacency":[41],"could":[43],"not":[44],"represent":[45],"information":[48,105],"mapping":[52],"space.":[53,112],"By":[54],"introducing":[55],"hidden":[56,68,88,95,111,129],"this":[58],"paper":[59],"proposes":[60],"a":[61,85,91,119,132],"novel":[62],"method":[64,137,154],"for":[65,157],"DNE,":[66],"called":[67],"space":[69,83,89,130],"(HDNE).":[73],"This":[74],"first":[76],"maps":[77],"data":[79,126],"into":[84],"high":[86],"dimensional":[87],"by":[90],"set":[92],"functions,":[96],"and":[97,143],"then":[98],"builds":[99],"incorporating":[103],"dataset":[108],"Finally,":[113],"DNE":[114],"used":[116],"find":[118],"transformation":[120],"matrix":[121],"which":[122],"would":[123],"map":[124],"low-dimensional":[133],"subspace.":[134],"The":[135],"proposed":[136,153],"applied":[139],"ORL":[141],"face":[142],"MNIST":[144],"handwritten":[145],"digit":[146],"databases.":[147],"Experimental":[148],"results":[149],"show":[150],"that":[151],"efficiency":[156]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}