{"id":"https://openalex.org/W2767154493","doi":"https://doi.org/10.1007/s00521-017-3238-7","title":"Large-scale structural learning and predicting via hashing approximation","display_name":"Large-scale structural learning and predicting via hashing approximation","publication_year":2017,"publication_date":"2017-10-17","ids":{"openalex":"https://openalex.org/W2767154493","doi":"https://doi.org/10.1007/s00521-017-3238-7","mag":"2767154493"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-017-3238-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-3238-7","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-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/A5100424608","display_name":"Dandan Chen","orcid":"https://orcid.org/0009-0007-0851-4742"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Chen","raw_affiliation_strings":["School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China","School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yingjie Tian","orcid":"https://orcid.org/0000-0003-3837-1782"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingjie Tian","raw_affiliation_strings":["Research Center on Fictitious Economy and Data Science, Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, 100190, China","Research Center on Fictitious Economy and Data Science, Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3837-1782","affiliations":[{"raw_affiliation_string":"Research Center on Fictitious Economy and Data Science, Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Research Center on Fictitious Economy and Data Science, Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16774874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"7","first_page":"2889","last_page":"2903"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9905999898910522,"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":0.7959764003753662},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7300393581390381},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6067030429840088},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.5990213751792908},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5096774101257324},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4868737757205963},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47848743200302124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44837602972984314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43241843581199646},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.43104803562164307},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.42229920625686646},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.415620893239975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3691129684448242},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.3407602310180664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3368932902812958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14951103925704956},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.07642659544944763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7959764003753662},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7300393581390381},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6067030429840088},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.5990213751792908},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5096774101257324},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4868737757205963},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47848743200302124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44837602972984314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43241843581199646},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.43104803562164307},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.42229920625686646},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.415620893239975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3691129684448242},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.3407602310180664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3368932902812958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14951103925704956},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.07642659544944763},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-017-3238-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-017-3238-7","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5959469421","display_name":"\u53ef\u62d3\u652f\u6301\u5411\u91cf\u673a\u7406\u8bba\u3001\u65b9\u6cd5\u4e0e\u5e94\u7528\u7814\u7a76","funder_award_id":"61472390","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645463129","display_name":"\u5927\u6570\u636e\u73af\u5883\u4e0b\u7684\u7ba1\u7406\u51b3\u7b56\u521b\u65b0\u7814\u7a76","funder_award_id":"71331005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6771848077","display_name":"\u77e5\u8bc6\u9a71\u52a8\u7684\u652f\u6301\u5411\u91cf\u673a\u7406\u8bba\u3001\u7b97\u6cd5\u4e0e\u5e94\u7528\u7814\u7a76","funder_award_id":"11271361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W91477260","https://openalex.org/W1530144005","https://openalex.org/W1546438435","https://openalex.org/W1883985887","https://openalex.org/W1967934524","https://openalex.org/W1973318348","https://openalex.org/W1974647172","https://openalex.org/W1998749283","https://openalex.org/W2000762656","https://openalex.org/W2012833704","https://openalex.org/W2016405781","https://openalex.org/W2037297582","https://openalex.org/W2037972594","https://openalex.org/W2053377618","https://openalex.org/W2058824296","https://openalex.org/W2076080604","https://openalex.org/W2081621367","https://openalex.org/W2084136177","https://openalex.org/W2090089568","https://openalex.org/W2104290444","https://openalex.org/W2111164815","https://openalex.org/W2112490010","https://openalex.org/W2115975329","https://openalex.org/W2119821739","https://openalex.org/W2126887541","https://openalex.org/W2135106139","https://openalex.org/W2140431670","https://openalex.org/W2142256417","https://openalex.org/W2146068631","https://openalex.org/W2148603752","https://openalex.org/W2152228468","https://openalex.org/W2162006472","https://openalex.org/W2168467811","https://openalex.org/W2169557227","https://openalex.org/W2170860445","https://openalex.org/W2183705191","https://openalex.org/W2204148968","https://openalex.org/W2251864938","https://openalex.org/W2318145034","https://openalex.org/W2405580001","https://openalex.org/W2518500747","https://openalex.org/W2518638964","https://openalex.org/W2544883878","https://openalex.org/W2601737536","https://openalex.org/W2604123379","https://openalex.org/W2616657226","https://openalex.org/W4294767349","https://openalex.org/W6600060591"],"related_works":["https://openalex.org/W2144265691","https://openalex.org/W2000601968","https://openalex.org/W2767764284","https://openalex.org/W1998749283","https://openalex.org/W4381744218","https://openalex.org/W2088296667","https://openalex.org/W1554555624","https://openalex.org/W2000284985","https://openalex.org/W2158169729","https://openalex.org/W2086731314"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}