{"id":"https://openalex.org/W4385567812","doi":"https://doi.org/10.1145/3580305.3599457","title":"OPORP: One Permutation + One Random Projection","display_name":"OPORP: One Permutation + One Random Projection","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567812","doi":"https://doi.org/10.1145/3580305.3599457"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5101984489","display_name":"Ping Li","orcid":"https://orcid.org/0000-0002-7985-8477"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]},{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ping Li","raw_affiliation_strings":["LinkedIn Ads, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Ads, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1316064682","https://openalex.org/I4210108985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065857318","display_name":"X.R. Li","orcid":"https://orcid.org/0000-0003-2812-3689"},"institutions":[{"id":"https://openalex.org/I4210108985","display_name":"Bellevue Hospital Center","ror":"https://ror.org/01ky34z31","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1283621791","https://openalex.org/I4210086933","https://openalex.org/I4210108985"]},{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyun Li","raw_affiliation_strings":["LinkedIn Ads, Bellevue, WA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn Ads, Bellevue, WA, USA","institution_ids":["https://openalex.org/I1316064682","https://openalex.org/I4210108985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101984489"],"corresponding_institution_ids":["https://openalex.org/I1316064682","https://openalex.org/I4210108985"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39919414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1303","last_page":"1315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.7519426345825195},{"id":"https://openalex.org/keywords/random-permutation","display_name":"Random permutation","score":0.6917005181312561},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6099703311920166},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.5873891711235046},{"id":"https://openalex.org/keywords/unit-vector","display_name":"Unit vector","score":0.5482431650161743},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4698043763637543},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.4537891745567322},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.41660934686660767},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.38728901743888855},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.370033323764801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22201180458068848},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10818654298782349},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.0910240113735199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08081716299057007},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07947695255279541}],"concepts":[{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.7519426345825195},{"id":"https://openalex.org/C200985842","wikidata":"https://www.wikidata.org/wiki/Q3375503","display_name":"Random permutation","level":3,"score":0.6917005181312561},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6099703311920166},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.5873891711235046},{"id":"https://openalex.org/C84316537","wikidata":"https://www.wikidata.org/wiki/Q36255","display_name":"Unit vector","level":2,"score":0.5482431650161743},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4698043763637543},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4537891745567322},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.41660934686660767},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.38728901743888855},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.370033323764801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22201180458068848},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10818654298782349},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.0910240113735199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08081716299057007},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07947695255279541},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599457","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1482260876","https://openalex.org/W1493892051","https://openalex.org/W1599364940","https://openalex.org/W1605194072","https://openalex.org/W1972676228","https://openalex.org/W1974627246","https://openalex.org/W1985123706","https://openalex.org/W1998840390","https://openalex.org/W2010416066","https://openalex.org/W2012833704","https://openalex.org/W2029852131","https://openalex.org/W2037757210","https://openalex.org/W2041836310","https://openalex.org/W2060430274","https://openalex.org/W2063698478","https://openalex.org/W2067952552","https://openalex.org/W2070996757","https://openalex.org/W2089497633","https://openalex.org/W2109034006","https://openalex.org/W2112912048","https://openalex.org/W2118123209","https://openalex.org/W2136189984","https://openalex.org/W2145096794","https://openalex.org/W2154423986","https://openalex.org/W2162006472","https://openalex.org/W2166128942","https://openalex.org/W2169054943","https://openalex.org/W2169446650","https://openalex.org/W2169660454","https://openalex.org/W2250539671","https://openalex.org/W2560674852","https://openalex.org/W2595840341","https://openalex.org/W2597851033","https://openalex.org/W2605800822","https://openalex.org/W2606098075","https://openalex.org/W2798664493","https://openalex.org/W2800545360","https://openalex.org/W2883502031","https://openalex.org/W2896457183","https://openalex.org/W2898158860","https://openalex.org/W2908230750","https://openalex.org/W2944916577","https://openalex.org/W2950960796","https://openalex.org/W2962985038","https://openalex.org/W2963469388","https://openalex.org/W2963555845","https://openalex.org/W2963647758","https://openalex.org/W2970547183","https://openalex.org/W2970859626","https://openalex.org/W2978329087","https://openalex.org/W2978727393","https://openalex.org/W2979473749","https://openalex.org/W2996064239","https://openalex.org/W2998010923","https://openalex.org/W3028864969","https://openalex.org/W3038692287","https://openalex.org/W3043574444","https://openalex.org/W3106272338","https://openalex.org/W3129103047","https://openalex.org/W3157502542","https://openalex.org/W3167456680","https://openalex.org/W3170720008","https://openalex.org/W3173783447","https://openalex.org/W4213099427","https://openalex.org/W4231463113","https://openalex.org/W4247345911","https://openalex.org/W4250955649","https://openalex.org/W4291125268","https://openalex.org/W4296591835","https://openalex.org/W4306317216","https://openalex.org/W4310895557","https://openalex.org/W4312465640","https://openalex.org/W4318147416","https://openalex.org/W6639300920","https://openalex.org/W6674970736","https://openalex.org/W6681302627","https://openalex.org/W6682042839","https://openalex.org/W6685405536","https://openalex.org/W6767285894","https://openalex.org/W6778883912","https://openalex.org/W6804195814"],"related_works":["https://openalex.org/W2184131469","https://openalex.org/W4321748008","https://openalex.org/W2074196947","https://openalex.org/W1887300513","https://openalex.org/W2797610470","https://openalex.org/W2120153268","https://openalex.org/W4297729179","https://openalex.org/W102744014","https://openalex.org/W1985197322","https://openalex.org/W4312051210"],"abstract_inverted_index":{"OPORP":[0],"is":[1,87,156],"a":[2,11,16,75],"variant":[3],"of":[4,194],"the":[5,20,29,40,78,129,140,159,163,170,195],"count-sketch":[6],"data":[7,79,124,151],"structure":[8],"by":[9],"using":[10],"fixed-length":[12],"binning":[13],"scheme":[14],"and":[15,136],"normalization":[17],"step":[18,155],"for":[19],"estimation.":[21],"In":[22,58],"our":[23],"experience,":[24],"we":[25,72,127],"find":[26],"engineers":[27],"like":[28],"name":[30],"\"one":[31],"permutation":[32,76],"+":[33,176],"one":[34],"random":[35],"projection\"":[36],"as":[37],"it":[38],"tells":[39],"exact":[41],"steps.":[42],"Consider":[43],"two":[44],"vectors":[45],"(e.g.,":[46,61],"embeddings):":[47],"u,":[48],"v":[49],"?":[50],"R":[51,85],"D":[52,63,86,130],"with":[53,90,121],"p":[54],"=":[55,64,92,98,104,109],"cos(u,":[56],"v).":[57],"embedding-based":[59],"applications":[60],"EBR),":[62],"256":[65],"-":[66,174],"4096":[67],"are":[68],"common.":[69],"With":[70],"OPORP,":[71],"first":[73],"apply":[74],"on":[77],"vectors.":[80,125],"A":[81,183],"vector":[82],"r":[83,120],"\u2208":[84],"generated":[88],"i.i.d.":[89],"E(i)":[91],"0,":[93,105,185],"E(r":[94,100],"2":[95],"i":[96,102,107],")":[97,103,108],"1,":[99,188],"3":[101],"E(r4":[106],"s,":[110],"where":[111],"s":[112,186],"\u2265":[113,184,187],"1.":[114],"We":[115,167],"multiply":[116],"(as":[117],"Hadamard":[118],"product)":[119],"all":[122],"permuted":[123],"Then":[126],"break":[128],"columns":[131],"into":[132],"k":[133,147,160],"equal-length":[134],"bins":[135],"aggregate":[137],"(i.e.,":[138],"sum)":[139],"values":[141],"in":[142],"each":[143,150],"bin":[144],"to":[145,157,162],"obtain":[146],"samples":[148,161],"from":[149],"vector.":[152],"One":[153],"crucial":[154],"normalize":[158],"unit":[164],"l2":[165],"norm.":[166],"show":[168],"that":[169],"estimation":[171],"variance":[172],"equals:(s":[173],"1)A":[175],"D-k/D-1":[177],"1/k":[178],"[(1-p2)2":[179],"-2A":[180],"]":[181],",":[182],"which":[189],"reveals":[190],"several":[191],"key":[192],"properties":[193],"proposed":[196],"scheme:":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}