{"id":"https://openalex.org/W2963981712","doi":"https://doi.org/10.1109/icassp.2019.8682551","title":"Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum","display_name":"Unsupervised Dimension Selection Using a Blue Noise Graph Spectrum","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2963981712","doi":"https://doi.org/10.1109/icassp.2019.8682551","mag":"2963981712"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1514800","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046632395","display_name":"Jayaraman J. Thiagarajan","orcid":"https://orcid.org/0000-0002-8517-5816"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayaraman J. Thiagarajan","raw_affiliation_strings":["Lawrence Livermore National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026742436","display_name":"Rushil Anirudh","orcid":"https://orcid.org/0000-0002-4186-3502"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rushil Anirudh","raw_affiliation_strings":["Lawrence Livermore National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory","institution_ids":["https://openalex.org/I1282311441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085749296","display_name":"Rahul Sridhar","orcid":"https://orcid.org/0000-0003-0930-4679"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Sridhar","raw_affiliation_strings":["Walmart Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Walmart Labs","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019902487","display_name":"Peer\u2010Timo Bremer","orcid":"https://orcid.org/0000-0003-4107-3831"},"institutions":[{"id":"https://openalex.org/I1282311441","display_name":"Lawrence Livermore National Laboratory","ror":"https://ror.org/041nk4h53","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282311441","https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210138311"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peer-Timo Bremer","raw_affiliation_strings":["Lawrence Livermore National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lawrence Livermore National Laboratory","institution_ids":["https://openalex.org/I1282311441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07782074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"454","issue":null,"first_page":"5436","last_page":"5440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991999864578247,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8245391845703125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6533738374710083},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5775055885314941},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5769333243370056},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.574688732624054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5413669347763062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126003623008728},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4809836149215698},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47011056542396545},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.45969358086586},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42221009731292725},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4138812720775604},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3090801239013672},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3001340627670288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28259509801864624},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10543292760848999}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8245391845703125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533738374710083},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5775055885314941},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5769333243370056},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.574688732624054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5413669347763062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126003623008728},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4809836149215698},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47011056542396545},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.45969358086586},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42221009731292725},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4138812720775604},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3090801239013672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3001340627670288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28259509801864624},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10543292760848999},{"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2019.8682551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1514800","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1514800","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1514800","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1514800","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1570713908","https://openalex.org/W1603732999","https://openalex.org/W1969423031","https://openalex.org/W1991252559","https://openalex.org/W2004105474","https://openalex.org/W2018790085","https://openalex.org/W2132379769","https://openalex.org/W2149620660","https://openalex.org/W2158933803","https://openalex.org/W2161763921","https://openalex.org/W2555850541","https://openalex.org/W2593649365","https://openalex.org/W2963662493","https://openalex.org/W4211179122","https://openalex.org/W4300819821","https://openalex.org/W6681822384"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W20047544","https://openalex.org/W3089231081"],"abstract_inverted_index":{"Unsupervised":[0],"dimension":[1,62],"selection":[2,63],"is":[3,23,77],"an":[4],"important":[5],"problem":[6,70],"that":[7,34,125],"seeks":[8],"to":[9,26,37,48,66,109],"reduce":[10],"dimensionality":[11,21],"of":[12,57,71,131,146,157,166],"data,":[13],"while":[14,85],"preserving":[15],"the":[16,53,68,73,129,144,147,167],"most":[17],"useful":[18],"characteristics.":[19],"While":[20],"reduction":[22,50],"commonly":[24],"utilized":[25],"construct":[27],"low-dimensional":[28],"embeddings,":[29],"they":[30],"produce":[31],"feature":[32,111],"spaces":[33],"are":[35],"hard":[36],"interpret.":[38],"Further,":[39],"in":[40,52,136,153],"applications":[41],"such":[42],"as":[43],"sensor":[44],"design,":[45,82],"one":[46],"needs":[47],"perform":[49],"directly":[51],"input":[54],"domain,":[55],"instead":[56],"constructing":[58],"transformed":[59],"spaces.":[60],"Consequently,":[61],"(DS)":[64],"aims":[65],"solve":[67],"combinatorial":[69],"identifying":[72],"top-k":[74],"dimensions,":[75],"which":[76],"required":[78],"for":[79,102],"effective":[80],"experiment":[81],"reducing":[83],"data":[84],"keeping":[86],"it":[87],"interpretable,":[88],"and":[89,139],"designing":[90],"better":[91],"sensing":[92],"mechanisms.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,123,126,142],"develop":[98],"a":[99,119,163],"novel":[100],"approach":[101,149],"DS":[103],"based":[104],"on":[105],"graph":[106,116],"signal":[107],"analysis":[108],"measure":[110,128],"influence.":[112],"By":[113],"analyzing":[114],"synthetic":[115],"signals":[117],"with":[118],"blue":[120],"noise":[121],"spectrum,":[122],"show":[124],"can":[127],"importance":[130],"each":[132],"dimension.":[133],"Using":[134],"experiments":[135],"supervised":[137],"learning":[138],"image":[140],"masking,":[141],"demonstrate":[143],"superiority":[145],"proposed":[148],"over":[150],"existing":[151],"techniques":[152],"capturing":[154],"crucial":[155],"characteristics":[156],"high":[158],"dimensional":[159],"spaces,":[160],"using":[161],"only":[162],"small":[164],"subset":[165],"original":[168],"features.":[169]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
