{"id":"https://openalex.org/W1963992598","doi":"https://doi.org/10.1109/vast.2012.6400489","title":"iLAMP: Exploring high-dimensional spacing through backward multidimensional projection","display_name":"iLAMP: Exploring high-dimensional spacing through backward multidimensional projection","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W1963992598","doi":"https://doi.org/10.1109/vast.2012.6400489","mag":"1963992598"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2012.6400489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2012.6400489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Visual Analytics Science and Technology (VAST)","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/A5044973138","display_name":"Elisa Portes dos Santos Amorim","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Elisa Portes dos Santos Amorim","raw_affiliation_strings":["University of Calgary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077314929","display_name":"Em\u00edlio Vital Brazil","orcid":"https://orcid.org/0000-0003-4982-3836"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Emilio Vital Brazil","raw_affiliation_strings":["University of Calgary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024259010","display_name":"Joel Daniels","orcid":null},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel Daniels","raw_affiliation_strings":["NYU Polytechnic Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NYU Polytechnic Institute","institution_ids":["https://openalex.org/I90965887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005986566","display_name":"Paulo Joia","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo Joia","raw_affiliation_strings":["University of Sao Paulo","University of S\u00e3o Paulo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sao Paulo","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011424640","display_name":"Lu\u00eds Gustavo Nonato","orcid":"https://orcid.org/0000-0002-8514-8033"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luis Gustavo Nonato","raw_affiliation_strings":["University of Sao Paulo","University of S\u00e3o Paulo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sao Paulo","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"University of S\u00e3o Paulo","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062797157","display_name":"M\u00e1rio Costa Sousa","orcid":"https://orcid.org/0000-0002-4347-0884"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mario Costa Sousa","raw_affiliation_strings":["University of Calgary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Calgary","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9955000281333923,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9955000281333923,"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/T11106","display_name":"Data Management and Algorithms","score":0.9944000244140625,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multidimensional-data","display_name":"Multidimensional data","score":0.7672487497329712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7395572662353516},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6495785713195801},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6106817722320557},{"id":"https://openalex.org/keywords/multidimensional-analysis","display_name":"Multidimensional analysis","score":0.5822639465332031},{"id":"https://openalex.org/keywords/multidimensional-systems","display_name":"Multidimensional systems","score":0.5194168090820312},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4955211877822876},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49521389603614807},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.48007044196128845},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44788193702697754},{"id":"https://openalex.org/keywords/high-dimensional","display_name":"High dimensional","score":0.44590768218040466},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.42811524868011475},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39890074729919434},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3945966362953186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3029482364654541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28509512543678284},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.1606801152229309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15014219284057617}],"concepts":[{"id":"https://openalex.org/C3019022308","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional data","level":2,"score":0.7672487497329712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395572662353516},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6495785713195801},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6106817722320557},{"id":"https://openalex.org/C169191187","wikidata":"https://www.wikidata.org/wiki/Q1418353","display_name":"Multidimensional analysis","level":2,"score":0.5822639465332031},{"id":"https://openalex.org/C158457486","wikidata":"https://www.wikidata.org/wiki/Q17104301","display_name":"Multidimensional systems","level":2,"score":0.5194168090820312},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4955211877822876},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49521389603614807},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.48007044196128845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44788193702697754},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.44590768218040466},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.42811524868011475},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39890074729919434},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3945966362953186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3029482364654541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28509512543678284},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.1606801152229309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15014219284057617},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vast.2012.6400489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2012.6400489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320312823","display_name":"CMG Reservoir Simulation Foundation","ror":"https://ror.org/013hjnc74"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W26643119","https://openalex.org/W1564330171","https://openalex.org/W1964477602","https://openalex.org/W1977050089","https://openalex.org/W1986092654","https://openalex.org/W1998785512","https://openalex.org/W2001141328","https://openalex.org/W2034694694","https://openalex.org/W2050469140","https://openalex.org/W2053186076","https://openalex.org/W2055196116","https://openalex.org/W2059972655","https://openalex.org/W2083479198","https://openalex.org/W2088323702","https://openalex.org/W2095527632","https://openalex.org/W2097308346","https://openalex.org/W2102323492","https://openalex.org/W2110080554","https://openalex.org/W2113637789","https://openalex.org/W2119111481","https://openalex.org/W2119471108","https://openalex.org/W2121714916","https://openalex.org/W2123855615","https://openalex.org/W2126470108","https://openalex.org/W2128021408","https://openalex.org/W2128554541","https://openalex.org/W2129086861","https://openalex.org/W2132747517","https://openalex.org/W2134312057","https://openalex.org/W2142244001","https://openalex.org/W2144968255","https://openalex.org/W2145265950","https://openalex.org/W2145519405","https://openalex.org/W2145646037","https://openalex.org/W2150770193","https://openalex.org/W2151933245","https://openalex.org/W2154699792","https://openalex.org/W2160382748","https://openalex.org/W2162205142","https://openalex.org/W2162825485","https://openalex.org/W2163925089","https://openalex.org/W2166090580","https://openalex.org/W2166947480","https://openalex.org/W2169507824","https://openalex.org/W2189564332","https://openalex.org/W2479500547","https://openalex.org/W2953866837","https://openalex.org/W3022981850","https://openalex.org/W3099514962","https://openalex.org/W3145929700","https://openalex.org/W3149684929","https://openalex.org/W4230289604","https://openalex.org/W4231252592","https://openalex.org/W4235003028","https://openalex.org/W4242123375","https://openalex.org/W4245245049","https://openalex.org/W4250857377","https://openalex.org/W4252316495","https://openalex.org/W4252824811","https://openalex.org/W4255692800","https://openalex.org/W4285719527","https://openalex.org/W6601110548","https://openalex.org/W6686966757","https://openalex.org/W6777060225"],"related_works":["https://openalex.org/W2106202144","https://openalex.org/W1585485335","https://openalex.org/W2367886317","https://openalex.org/W2171047372","https://openalex.org/W2370170137","https://openalex.org/W1641902366","https://openalex.org/W4299279426","https://openalex.org/W1544010218","https://openalex.org/W1852954565","https://openalex.org/W1963992598"],"abstract_inverted_index":{"Ever":[0],"improving":[1],"computing":[2],"power":[3],"and":[4,12,23,42,61,74,89,164],"technological":[5],"advances":[6],"are":[7],"greatly":[8],"augmenting":[9],"data":[10,21,78,149],"collection":[11],"scientific":[13,62],"observation.":[14],"This":[15,133],"has":[16],"directly":[17],"contributed":[18],"to":[19,40,70,86,121,136,150,178],"increased":[20],"complexity":[22],"dimensionality,":[24],"motivating":[25],"research":[26,55],"of":[27,37,67,76,139,147,166,176,183],"exploration":[28,112],"techniques":[29,41,69,82],"for":[30,114],"multidimensional":[31,48,77,103,115,141],"data.":[32,116],"Consequently,":[33],"a":[34,109,130,140,145,184],"recent":[35],"influx":[36],"work":[38],"dedicated":[39],"tools":[43],"that":[44,107,158],"aid":[45],"in":[46,53,119],"understanding":[47],"datasets":[49],"can":[50],"be":[51],"observed":[52],"many":[54],"fields,":[56],"including":[57],"biology,":[58],"engineering,":[59],"physics":[60],"computing.":[63],"While":[64],"the":[65,72,148,151,162,167,174,180],"effectiveness":[66],"existing":[68],"analyze":[71],"structure":[73],"relationships":[75],"varies":[79],"greatly,":[80],"few":[81],"provide":[83],"flexible":[84],"mechanisms":[85],"simultaneously":[87],"visualize":[88],"actively":[90],"explore":[91],"high-dimensional":[92,131,185],"spaces.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97],"present":[98,155],"an":[99],"inverse":[100],"linear":[101],"affine":[102],"projection,":[104],"coined":[105],"iLAMP,":[106,160],"enables":[108],"novel":[110],"interactive":[111],"technique":[113],"iLAMP":[117,177],"operates":[118],"reverse":[120],"traditional":[122],"projection":[123,146],"methods":[124],"by":[125],"mapping":[126],"low-dimensional":[127],"information":[128],"into":[129],"space.":[132,186],"allows":[134],"users":[135],"extrapolate":[137],"instances":[138],"dataset":[142],"while":[143],"exploring":[144],"planar":[152],"domain.":[153],"We":[154],"experimental":[156],"results":[157],"validate":[159],"measuring":[161],"quality":[163],"coherence":[165],"extrapolated":[168],"data;":[169],"as":[170,172],"well":[171],"demonstrate":[173],"utility":[175],"hypothesize":[179],"unexplored":[181],"regions":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
