{"id":"https://openalex.org/W1943357268","doi":"https://doi.org/10.1109/cvpr.2015.7298654","title":"Hashing with binary autoencoders","display_name":"Hashing with binary autoencoders","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1943357268","doi":"https://doi.org/10.1109/cvpr.2015.7298654","mag":"1943357268"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5057957982","display_name":"Miguel \u00c1. Carreira-Perpi\u00f1\u00e1n","orcid":"https://orcid.org/0000-0003-3297-9375"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Miguel A. Carreira-Perpinan","raw_affiliation_strings":["University of California Merced, Merced, CA, US","EECS, University of California, Merced, USA"],"affiliations":[{"raw_affiliation_string":"University of California Merced, Merced, CA, US","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"EECS, University of California, Merced, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070379115","display_name":"Ramin Raziperchikolaei","orcid":"https://orcid.org/0009-0007-5811-1079"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramin Raziperchikolaei","raw_affiliation_strings":["EECS, University of California, Merced","EECS, University of California, Merced, USA"],"affiliations":[{"raw_affiliation_string":"EECS, University of California, Merced","institution_ids":["https://openalex.org/I156087764"]},{"raw_affiliation_string":"EECS, University of California, Merced, USA","institution_ids":["https://openalex.org/I156087764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057957982"],"corresponding_institution_ids":["https://openalex.org/I156087764"],"apc_list":null,"apc_paid":null,"fwci":11.7821,"has_fulltext":false,"cited_by_count":138,"citation_normalized_percentile":{"value":0.99008408,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"557","last_page":"566"},"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":1.0,"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":1.0,"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":0.9965000152587891,"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":0.9951000213623047,"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/hash-function","display_name":"Hash function","score":0.8446172475814819},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.8231061697006226},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6793550848960876},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6691547632217407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6551677584648132},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5461451411247253},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5364826917648315},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.5072950720787048},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4693138599395752},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4231640100479126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4212290942668915},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.42102542519569397},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4021188020706177},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.36043235659599304},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35552772879600525},{"id":"https://openalex.org/keywords/perfect-hash-function","display_name":"Perfect hash function","score":0.3537093997001648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35362958908081055},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.30076685547828674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19853675365447998},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.11308389902114868}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.8446172475814819},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.8231061697006226},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6793550848960876},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6691547632217407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551677584648132},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5461451411247253},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5364826917648315},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.5072950720787048},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4693138599395752},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4231640100479126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4212290942668915},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.42102542519569397},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4021188020706177},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.36043235659599304},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35552772879600525},{"id":"https://openalex.org/C87431388","wikidata":"https://www.wikidata.org/wiki/Q2070573","display_name":"Perfect hash function","level":4,"score":0.3537093997001648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35362958908081055},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.30076685547828674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19853675365447998},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.11308389902114868},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7298654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.679.6558","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.6558","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://faculty.ucmerced.edu/mcarreira-perpinan/papers/baylearn14a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.680.21","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.680.21","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://faculty.ucmerced.edu/mcarreira-perpinan/papers/BAhash.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W81594759","https://openalex.org/W1522794344","https://openalex.org/W1523646822","https://openalex.org/W1566135517","https://openalex.org/W1593584081","https://openalex.org/W1833744030","https://openalex.org/W1835419070","https://openalex.org/W1946620893","https://openalex.org/W1974647172","https://openalex.org/W1990537115","https://openalex.org/W2007972815","https://openalex.org/W2038276547","https://openalex.org/W2038497950","https://openalex.org/W2091480518","https://openalex.org/W2105734423","https://openalex.org/W2118585731","https://openalex.org/W2120889791","https://openalex.org/W2124509324","https://openalex.org/W2135674549","https://openalex.org/W2143321506","https://openalex.org/W2153273131","https://openalex.org/W2154956324","https://openalex.org/W2164338181","https://openalex.org/W2221852422","https://openalex.org/W2251864938","https://openalex.org/W2292992741","https://openalex.org/W2293597654","https://openalex.org/W2913932916","https://openalex.org/W2953192649","https://openalex.org/W2963055445","https://openalex.org/W3029645440","https://openalex.org/W3118608800","https://openalex.org/W3143496104","https://openalex.org/W4301909677","https://openalex.org/W6635431558","https://openalex.org/W6675794412","https://openalex.org/W6677656871","https://openalex.org/W6684181414","https://openalex.org/W6691474080","https://openalex.org/W6696891034","https://openalex.org/W6697214482","https://openalex.org/W6787972765","https://openalex.org/W6842097421"],"related_works":["https://openalex.org/W2094127768","https://openalex.org/W2008159385","https://openalex.org/W2164322063","https://openalex.org/W1514336682","https://openalex.org/W2084899141","https://openalex.org/W1551533237","https://openalex.org/W3147234119","https://openalex.org/W102859714","https://openalex.org/W1717515755","https://openalex.org/W2333289748"],"abstract_inverted_index":{"An":[0],"attractive":[1],"approach":[2],"for":[3,120,138],"fast":[4],"search":[5,26],"in":[6,29],"image":[7,16,73],"databases":[8],"is":[9,17,27,38,133],"binary":[10,22,31,43,65,76,139],"hashing,":[11],"where":[12],"each":[13,121],"high-dimensional,":[14],"real-valued":[15],"mapped":[18],"onto":[19],"a":[20],"low-dimensional,":[21],"vector":[23],"and":[24,45,55,111,114],"the":[25,34,49,53,58,64,75,80,86,92,99,109,118,127],"done":[28],"this":[30],"space.":[32],"Finding":[33],"optimal":[35],"hash":[36,81,129],"function":[37,130],"difficult":[39],"because":[40],"it":[41],"involves":[42],"constraints,":[44],"most":[46],"approaches":[47],"approximate":[48],"optimization":[50,87,100],"by":[51,79],"relaxing":[52],"constraints":[54],"then":[56],"binarizing":[57],"result.":[59],"Here,":[60],"we":[61],"focus":[62],"on":[63],"autoencoder":[66],"model,":[67],"which":[68],"seeks":[69],"to":[70],"reconstruct":[71],"an":[72],"from":[74],"code":[77,119],"produced":[78],"function.":[82],"We":[83],"show":[84,126],"that":[85,107,116],"can":[88],"be":[89],"simplified":[90],"with":[91,135],"method":[93],"of":[94],"auxiliary":[95],"coordinates.":[96],"This":[97],"reformulates":[98],"as":[101],"alternating":[102],"two":[103],"easier":[104],"steps:":[105],"one":[106,115],"learns":[108],"encoder":[110],"decoder":[112],"separately,":[113],"optimizes":[117],"image.":[122],"Image":[123],"retrieval":[124],"experiments":[125],"resulting":[128],"outperforms":[131],"or":[132],"competitive":[134],"state-of-the-art":[136],"methods":[137],"hashing.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
