{"id":"https://openalex.org/W2010402202","doi":"https://doi.org/10.1109/icmlc.2014.7009121","title":"Rotated k-means hashing for image retrieval problems","display_name":"Rotated k-means hashing for image retrieval problems","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2010402202","doi":"https://doi.org/10.1109/icmlc.2014.7009121","mag":"2010402202"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2014.7009121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","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/A5086626577","display_name":"Libin Zheng","orcid":"https://orcid.org/0000-0002-9339-1949"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Bin Zheng","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, South China University Of Technology, Guangzhou, China","[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, South China University Of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105759393","display_name":"Wing W. Y. Ng","orcid":"https://orcid.org/0000-0003-0783-3585"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wing W.Y. Ng","raw_affiliation_strings":["Machine Learning and Cybernetic Research Center, South China University Of Technology, Guangzhou, China","[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Cybernetic Research Center, South China University Of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"[Machine Learning and Cybernetic Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou, China]","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57792297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5414","issue":null,"first_page":"227","last_page":"234"},"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":0.9842000007629395,"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":0.9811000227928162,"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/quantization","display_name":"Quantization (signal processing)","score":0.6933243274688721},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.6917949318885803},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6449122428894043},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6403729915618896},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5893921256065369},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.5783447027206421},{"id":"https://openalex.org/keywords/linear-hashing","display_name":"Linear hashing","score":0.5060147643089294},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.4996762275695801},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49327749013900757},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.4911613166332245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4878242313861847},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.47318530082702637},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.44823285937309265},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.4479215443134308},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.4162505865097046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39749935269355774},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38485661149024963},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3799264430999756},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.31357598304748535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30836352705955505},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.15680554509162903},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10209175944328308}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6933243274688721},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.6917949318885803},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6449122428894043},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6403729915618896},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5893921256065369},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.5783447027206421},{"id":"https://openalex.org/C36375716","wikidata":"https://www.wikidata.org/wiki/Q6553456","display_name":"Linear hashing","level":5,"score":0.5060147643089294},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.4996762275695801},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49327749013900757},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.4911613166332245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4878242313861847},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.47318530082702637},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.44823285937309265},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.4479215443134308},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.4162505865097046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39749935269355774},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38485661149024963},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3799264430999756},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.31357598304748535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30836352705955505},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.15680554509162903},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10209175944328308},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2014.7009121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009121","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323059","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1546243588","https://openalex.org/W1974647172","https://openalex.org/W2012592962","https://openalex.org/W2029205712","https://openalex.org/W2044195942","https://openalex.org/W2084363474","https://openalex.org/W2111006384","https://openalex.org/W2124509324","https://openalex.org/W2125378448","https://openalex.org/W2145065594","https://openalex.org/W2148554573","https://openalex.org/W2162006472","https://openalex.org/W2171700594","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W3106512200","https://openalex.org/W6629956336","https://openalex.org/W6678556256","https://openalex.org/W6691474080","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2811247857","https://openalex.org/W2023326318","https://openalex.org/W2893252848","https://openalex.org/W2100189723","https://openalex.org/W2783286101","https://openalex.org/W1554555624","https://openalex.org/W2964752363","https://openalex.org/W2253231004","https://openalex.org/W2184777945","https://openalex.org/W2544145541"],"abstract_inverted_index":{"Hamming":[0],"embedding":[1],"is":[2,17],"shown":[3],"to":[4,19,37,67,82],"be":[5],"efficient":[6],"for":[7,24,105],"solving":[8],"large":[9],"scale":[10],"image":[11],"retrieval":[12],"problems.":[13],"The":[14,58,87],"k-means":[15,59,90],"hashing":[16,33,60,75,91],"applied":[18],"find":[20,38],"compact":[21],"binary":[22,48,65],"codes":[23,41,66],"hashing.":[25],"On":[26],"the":[27,30,44,62,72,77,84,93,98,114],"other":[28],"hand,":[29],"iterative":[31,73],"quantization":[32,45,69,74,85,109],"has":[34],"been":[35],"proposed":[36,88],"better":[39],"hash":[40,49,52],"by":[42],"minimizing":[43],"error":[46,70],"between":[47],"code":[50],"and":[51],"function":[53],"output":[54],"values":[55],"of":[56,64,80,95,100,103,108],"images.":[57,120],"distorts":[61],"hypercube":[63,96],"minimize":[68,83],"while":[71],"rotates":[76],"feature":[78,101],"vector":[79,102],"images":[81,104],"error.":[86,110],"rotated":[89],"combines":[92],"distortion":[94],"with":[97],"rotation":[99],"further":[106],"minimization":[107],"Experimental":[111],"results":[112],"show":[113],"RKMH":[115],"preserves":[116],"good":[117],"similarities":[118],"among":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}