{"id":"https://openalex.org/W2048290586","doi":"https://doi.org/10.1109/icip.2010.5652690","title":"Classification of high-dimensional data using the Sparse Matrix Transform","display_name":"Classification of high-dimensional data using the Sparse Matrix Transform","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2048290586","doi":"https://doi.org/10.1109/icip.2010.5652690","mag":"2048290586"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040435618","display_name":"Leonardo R. Bachega","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonardo R. Bachega","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN 47907-2035, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN 47907-2035, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056657991","display_name":"Charles A. Bouman","orcid":"https://orcid.org/0000-0001-8504-0383"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles A. Bouman","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN 47907-2035, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN 47907-2035, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"265","last_page":"268"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9855999946594238,"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/computer-science","display_name":"Computer science","score":0.7696789503097534},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6804818511009216},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.65277099609375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6410629749298096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6226556301116943},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6115625500679016},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5352367162704468},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.527891993522644},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49758198857307434},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.42009466886520386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3254108428955078},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14035120606422424},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08018147945404053},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.06547784805297852}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696789503097534},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6804818511009216},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.65277099609375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6410629749298096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226556301116943},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6115625500679016},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5352367162704468},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.527891993522644},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49758198857307434},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.42009466886520386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3254108428955078},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14035120606422424},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08018147945404053},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.06547784805297852},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5652690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1969508171","https://openalex.org/W2033419168","https://openalex.org/W2078304412","https://openalex.org/W2118774738","https://openalex.org/W2121647436","https://openalex.org/W2155569237","https://openalex.org/W2263750808","https://openalex.org/W2511353375","https://openalex.org/W6683007409"],"related_works":["https://openalex.org/W2788344745","https://openalex.org/W2062336688","https://openalex.org/W2910677864","https://openalex.org/W2148213881","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W1974955043","https://openalex.org/W1552490587","https://openalex.org/W3035701170"],"abstract_inverted_index":{"In":[0],"this":[1,140],"paper,":[2],"we":[3,53],"develop":[4],"a":[5,55,85,117],"classification":[6],"method":[7,81,91,141],"for":[8,143],"high-dimensional":[9,134],"data":[10,135],"based":[11],"on":[12],"the":[13,34,44,50,59,63,67,74,99,106,109,124,130],"Sparse":[14],"Matrix":[15],"Transform":[16],"(SMT).":[17],"The":[18],"recently":[19],"proposed":[20],"SMT":[21,60,100,131],"has":[22],"been":[23],"shown":[24],"to":[25,61,84,105,128,133],"produce":[26],"more":[27,103],"accurate":[28,113],"estimates":[29],"of":[30,36,46,49,66,108],"covariance":[31,64],"matrices":[32],"when":[33,115],"number":[35,45],"training":[37,110,119],"samples":[38,120],"n":[39],"is":[40,82,102,136],"much":[41],"less":[42],"than":[43],"dimensions":[47],"p":[48],"data.":[51,68],"Here":[52],"introduce":[54],"classifier":[56,101,132],"that":[57,79],"uses":[58],"model":[62],"structure":[65],"Experiments":[69],"in":[70,92,145,151],"face":[71,76],"recognition":[72],"using":[73],"FERET":[75],"database":[77],"show":[78],"our":[80],"superior":[83],"conceptually":[86],"very":[87,137],"similar":[88],"and":[89,147],"low-dimensional":[90],"at":[93],"least":[94],"two":[95],"key":[96],"aspects:":[97],"First,":[98],"robust":[104],"size":[107],"set,":[111],"remaining":[112],"even":[114],"only":[116],"few":[118],"are":[121],"available;":[122],"Second,":[123],"total":[125],"computation":[126],"required":[127],"apply":[129],"low,":[138],"making":[139],"attractive":[142],"use":[144],"low-power":[146],"mobile":[148],"devices,":[149],"or":[150],"application":[152],"settings":[153],"requiring":[154],"fast":[155],"computation.":[156]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
