{"id":"https://openalex.org/W2892120614","doi":"https://doi.org/10.1109/icip.2018.8451183","title":"Discrete Locally-Linear Preserving Hashing","display_name":"Discrete Locally-Linear Preserving Hashing","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892120614","doi":"https://doi.org/10.1109/icip.2018.8451183","mag":"2892120614"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5101460509","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-3001-9103"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704674","display_name":"Chao Ma","orcid":"https://orcid.org/0000-0001-6758-1100"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ma","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026169938","display_name":"Xiaolin Huang","orcid":"https://orcid.org/0000-0003-4285-6520"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Huang","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101460509"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44996804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"490","last_page":"494"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9851999878883362,"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":0.972100019454956,"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":0.7595083713531494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6688958406448364},{"id":"https://openalex.org/keywords/k-independent-hashing","display_name":"K-independent hashing","score":0.6401287317276001},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.5031003355979919},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4663476347923279},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.46452176570892334},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.46025004982948303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4562470018863678},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.4228218197822571},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4176543951034546},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3965797424316406},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3694925904273987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3593252897262573},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.28009822964668274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21810302138328552}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7595083713531494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6688958406448364},{"id":"https://openalex.org/C187062812","wikidata":"https://www.wikidata.org/wiki/Q6322840","display_name":"K-independent hashing","level":5,"score":0.6401287317276001},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.5031003355979919},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4663476347923279},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.46452176570892334},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46025004982948303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4562470018863678},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.4228218197822571},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4176543951034546},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3965797424316406},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3694925904273987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3593252897262573},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.28009822964668274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21810302138328552},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1566135517","https://openalex.org/W1943357268","https://openalex.org/W1967138577","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W1996936615","https://openalex.org/W2027982384","https://openalex.org/W2051666324","https://openalex.org/W2074668987","https://openalex.org/W2112796928","https://openalex.org/W2125378448","https://openalex.org/W2145940484","https://openalex.org/W2150593711","https://openalex.org/W2251864938","https://openalex.org/W2293597654","https://openalex.org/W2319358180","https://openalex.org/W2411707397","https://openalex.org/W2510911086","https://openalex.org/W2522148122","https://openalex.org/W2951692027","https://openalex.org/W2963398644","https://openalex.org/W3118608800","https://openalex.org/W6629956336","https://openalex.org/W6678556256","https://openalex.org/W6691474080","https://openalex.org/W6697214482","https://openalex.org/W6715177018","https://openalex.org/W6725774388"],"related_works":["https://openalex.org/W2100189723","https://openalex.org/W4385382899","https://openalex.org/W2811247857","https://openalex.org/W2962718115","https://openalex.org/W1554555624","https://openalex.org/W2292992741","https://openalex.org/W2949049896","https://openalex.org/W2029205712","https://openalex.org/W29009527","https://openalex.org/W4212830455"],"abstract_inverted_index":{"Recently,":[0],"hashing":[1,23,72],"has":[2,38],"attracted":[3],"considerable":[4],"attention":[5],"for":[6,60],"nearest":[7],"neighbor":[8],"search":[9],"due":[10],"to":[11,105,123],"its":[12],"fast":[13],"query":[14],"speed":[15],"and":[16],"low":[17],"storage":[18],"cost.":[19],"However,":[20],"existing":[21],"unsupervised":[22,71,144],"algorithms":[24],"have":[25],"two":[26,131],"problems":[27],"in":[28,41,50,64,91],"common.":[29],"Firstly,":[30],"the":[31,46,51,82,87,92,107,116,120,125,137,142],"widely":[32],"utilized":[33],"anchor":[34,100],"graph":[35],"construction":[36],"algorithm":[37,102],"inherent":[39],"limitations":[40],"local":[42,99],"weight":[43],"estimation.":[44],"Secondly,":[45],"locally":[47,88],"linear":[48,89],"structure":[49,90],"original":[52],"feature":[53],"space":[54],"is":[55,103],"seldom":[56],"taken":[57],"into":[58],"account":[59],"binary":[61,126],"encoding.":[62],"Therefore,":[63],"this":[65],"paper,":[66],"we":[67,113],"propose":[68],"a":[69,97],"novel":[70,98],"method,":[73],"dubbed":[74],"\u201cdis-crete":[75],"locally-linear":[76],"preserving":[77,86],"hashing\u201d,":[78],"which":[79],"effectively":[80],"calculates":[81],"adjacent":[83,109],"matrix":[84],"while":[85],"obtained":[93],"hash":[94],"space.":[95],"Specifically,":[96],"embedding":[101],"adopted":[104],"construct":[106],"approximate":[108],"matrix.":[110],"After":[111],"that,":[112],"directly":[114],"minimize":[115],"reconstruction":[117],"error":[118],"with":[119],"discrete":[121],"constrain":[122],"learn":[124],"codes.":[127],"Experimental":[128],"results":[129],"on":[130],"typical":[132],"image":[133],"datasets":[134],"indicate":[135],"that":[136],"proposed":[138],"method":[139],"significantly":[140],"outperforms":[141],"state-of-the-art":[143],"methods.":[145]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
