{"id":"https://openalex.org/W2756953964","doi":"https://doi.org/10.1109/iscbi.2017.8053536","title":"Siamese-twin random projection neural network with Bagging Trees tuning for unsupervised binary image hashing","display_name":"Siamese-twin random projection neural network with Bagging Trees tuning for unsupervised binary image hashing","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2756953964","doi":"https://doi.org/10.1109/iscbi.2017.8053536","mag":"2756953964"},"language":"en","primary_location":{"id":"doi:10.1109/iscbi.2017.8053536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","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/A5040371737","display_name":"Mohamed Waleed Fahkr","orcid":null},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Waleed Fahkr","raw_affiliation_strings":["College of Engineering and Technology, Arab Academy for Science Technology and Maritime Transport, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Technology, Arab Academy for Science Technology and Maritime Transport, Cairo, Egypt","institution_ids":["https://openalex.org/I59272784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066283117","display_name":"Mohamed Moheeb Emara","orcid":"https://orcid.org/0000-0001-9247-9722"},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Moheeb Emara","raw_affiliation_strings":["Arab Academy for Science Technology and Maritime Transport, College of Computing and IT, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science Technology and Maritime Transport, College of Computing and IT, Cairo, Egypt","institution_ids":["https://openalex.org/I59272784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108133949","display_name":"Mohamed B. Abdelhalim","orcid":null},"institutions":[{"id":"https://openalex.org/I59272784","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":"https://ror.org/0004vyj87","country_code":"EG","type":"education","lineage":["https://openalex.org/I59272784"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Bakr Abdelhalim","raw_affiliation_strings":["Arab Academy for Science Technology and Maritime Transport, College of Computing and IT, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science Technology and Maritime Transport, College of Computing and IT, Cairo, Egypt","institution_ids":["https://openalex.org/I59272784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47728135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"14","last_page":"19"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9966999888420105,"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":0.9962000250816345,"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":0.6671451330184937},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.661789059638977},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6506979465484619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6288653612136841},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.6181133985519409},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.577265202999115},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5684162378311157},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5654536485671997},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5101166367530823},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5098463892936707},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.45444732904434204},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.44841402769088745},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.42949947714805603},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41334256529808044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23431462049484253},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2336457371711731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671451330184937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.661789059638977},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6506979465484619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6288653612136841},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.6181133985519409},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.577265202999115},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5684162378311157},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5654536485671997},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5101166367530823},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5098463892936707},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.45444732904434204},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.44841402769088745},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.42949947714805603},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41334256529808044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23431462049484253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2336457371711731},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscbi.2017.8053536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","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":25,"referenced_works":["https://openalex.org/W89155778","https://openalex.org/W138476454","https://openalex.org/W1913628733","https://openalex.org/W1956333070","https://openalex.org/W1974647172","https://openalex.org/W1985417744","https://openalex.org/W1990537115","https://openalex.org/W2073301055","https://openalex.org/W2075547840","https://openalex.org/W2087193308","https://openalex.org/W2112447569","https://openalex.org/W2153273131","https://openalex.org/W2155261478","https://openalex.org/W2164338181","https://openalex.org/W2171590421","https://openalex.org/W2171790913","https://openalex.org/W2221852422","https://openalex.org/W2293597654","https://openalex.org/W2558582943","https://openalex.org/W2911964244","https://openalex.org/W2963213486","https://openalex.org/W3118608800","https://openalex.org/W6676727762","https://openalex.org/W6684181414","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2019315587","https://openalex.org/W2105734423","https://openalex.org/W2953192649","https://openalex.org/W1562412850","https://openalex.org/W2919919296","https://openalex.org/W2109703172","https://openalex.org/W2088296667","https://openalex.org/W2963758661","https://openalex.org/W2094998163","https://openalex.org/W2369970998"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,77,83,103,113,124,131],"Siamese-Twin":[4],"Random":[5],"Projection":[6],"Neural":[7],"Network":[8],"(ST-RPNN)":[9],"is":[10,19,36,45,64,73,98,109,142],"proposed":[11,140,160],"for":[12,51,87],"unsupervised":[13,146],"binary":[14,34,49,58,148],"hashing":[15,149],"of":[16,21,178],"images.":[17],"ST-RPNN":[18],"made":[20],"two":[22,67],"identical":[23],"random":[24,71],"projection":[25,72],"neural":[26],"networks":[27],"with":[28,121,130,144],"hard":[29],"threshold":[30],"neurons":[31,88],"where":[32],"the":[33,39,119,152,156,171,181],"code":[35,106],"taken":[37],"as":[38,112],"neuron":[40],"outputs.":[41],"The":[42,61,139,159],"learning":[43,62],"objective":[44],"to":[46,75,101,123],"produce":[47,76],"similar":[48,52],"codes":[50,59],"input":[53],"image":[54,147],"pairs":[55],"and":[56,129,155,174],"different":[57],"otherwise.":[60],"process":[63],"divided":[65],"into":[66],"steps.":[68],"Firstly,":[69],"overcomplete":[70],"used":[74,100,111],"sufficiently":[78],"long":[79],"code,":[80],"followed":[81],"by":[82],"fast":[84,114],"sparse":[85],"technique":[86,141,161],"selection":[89],"(FSNS).":[90],"Bootstrap":[91],"Aggregation":[92],"Trees":[93,96],"or":[94],"Bagging":[95],"(BT)":[97],"then":[99],"make":[102],"refined":[104],"compact":[105],"section.":[107],"BT":[108],"also":[110],"retrieval":[115],"tool":[116],"that":[117],"ranks":[118],"database":[120],"respect":[122],"query":[125],"without":[126],"distance":[127,137],"calculations":[128],"significantly":[132],"lower":[133],"complexity":[134],"than":[135,166,176],"Hamming":[136],"approach.":[138],"compared":[143,168],"10":[145],"techniques":[150,169],"on":[151,170,180],"COREL1K":[153,172],"dataset":[154],"CIFAR10":[157,182],"dataset.":[158,183],"obtained":[162],"better":[163,175],"precision-recall":[164],"results":[165],"all":[167],"dataset,":[173],"8":[177],"them":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}