{"id":"https://openalex.org/W2416720871","doi":"https://doi.org/10.1109/acpr.2015.7486555","title":"CRF with locality-consistent dictionary learning for semantic segmentation","display_name":"CRF with locality-consistent dictionary learning for semantic segmentation","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2416720871","doi":"https://doi.org/10.1109/acpr.2015.7486555","mag":"2416720871"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5100682872","display_name":"Yi Li","orcid":"https://orcid.org/0000-0001-9400-2186"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Li","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056699273","display_name":"Yanqing Guo","orcid":"https://orcid.org/0000-0001-9123-140X"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705676","display_name":"Jun Guo","orcid":"https://orcid.org/0000-0003-0930-3238"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351521","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-3163-5992"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003239155","display_name":"Xiangwei Kong","orcid":"https://orcid.org/0000-0002-0851-6752"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangwei Kong","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100682872"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80489766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"509","last_page":"513"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9968000054359436,"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/locality","display_name":"Locality","score":0.8600200414657593},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7383257746696472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339707612991333},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.6895886063575745},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6867304444313049},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6316066980361938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6272286176681519},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5108498930931091},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4969165623188019},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4564320147037506},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4561341404914856},{"id":"https://openalex.org/keywords/semantic-space","display_name":"Semantic space","score":0.4519684612751007},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4441315233707428},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3717213273048401},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.36411070823669434},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.344917356967926},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1312021017074585}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.8600200414657593},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7383257746696472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339707612991333},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.6895886063575745},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6867304444313049},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6316066980361938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6272286176681519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5108498930931091},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4969165623188019},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4564320147037506},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4561341404914856},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.4519684612751007},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4441315233707428},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3717213273048401},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.36411070823669434},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.344917356967926},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1312021017074585},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions"},{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W32681088","https://openalex.org/W70785481","https://openalex.org/W1045193051","https://openalex.org/W1528789833","https://openalex.org/W1625255723","https://openalex.org/W1996777517","https://openalex.org/W2017313218","https://openalex.org/W2031489346","https://openalex.org/W2043006496","https://openalex.org/W2061896181","https://openalex.org/W2095844239","https://openalex.org/W2100588357","https://openalex.org/W2101309634","https://openalex.org/W2113606819","https://openalex.org/W2116877738","https://openalex.org/W2133858838","https://openalex.org/W2137881638","https://openalex.org/W2147880316","https://openalex.org/W2151103935","https://openalex.org/W2163112044","https://openalex.org/W2294005953","https://openalex.org/W4247575175","https://openalex.org/W6636494156","https://openalex.org/W6674793120","https://openalex.org/W6676903177","https://openalex.org/W6680357304","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W1987225540","https://openalex.org/W2363993830","https://openalex.org/W1778286912","https://openalex.org/W2561456314","https://openalex.org/W2249096836","https://openalex.org/W1992008660","https://openalex.org/W2152958724","https://openalex.org/W2116933539","https://openalex.org/W1587263836"],"abstract_inverted_index":{"The":[0,15,62],"use":[1],"of":[2,82],"top-down":[3],"categorization":[4],"information":[5],"in":[6,70],"bottom-up":[7],"semantic":[8,50],"segmentation":[9,51,118],"can":[10,22,33],"significantly":[11],"improve":[12],"its":[13],"performance.":[14],"basic":[16],"Conditional":[17],"Random":[18],"Field":[19],"(CR-F)":[20],"model":[21,66,91],"capture":[23],"the":[24,29,35,39,67,80,89],"local":[25,68],"contexture":[26],"information,":[27],"while":[28],"locality-consistent":[30,59],"sparse":[31],"representation":[32],"obtain":[34],"category-level":[36],"priors":[37],"and":[38,73,102],"relationship":[40],"infeature":[41],"space.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"a":[48],"novel":[49],"method":[52,108],"based":[53,117],"on":[54,97],"an":[55,85],"innovative":[56],"CRF":[57],"with":[58],"dictionary":[60],"learning.":[61],"framework":[63],"aims":[64],"to":[65,111],"structure":[69],"both":[71],"location":[72],"feature":[74],"space":[75],"as":[76,78],"well":[77],"encourage":[79],"discrimination":[81],"dictionary.":[83],"Moreover,":[84],"adapted":[86],"algorithm":[87],"for":[88],"proposed":[90],"is":[92,109],"described.":[93],"Extensive":[94],"experimental":[95],"results":[96],"Graz-02,":[98],"PASCAL":[99],"VOC":[100],"2010":[101],"MSRC-21":[103],"databases":[104],"demonstrate":[105],"that":[106],"our":[107],"comparable":[110],"or":[112],"outperforms":[113],"state-of-the-art":[114],"Bag-of-Features":[115],"(BoF)":[116],"methods.":[119]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}