{"id":"https://openalex.org/W2090062023","doi":"https://doi.org/10.4304/jsw.9.3.748-756","title":"Sparse Affinity Propagation for Image Analysis","display_name":"Sparse Affinity Propagation for Image Analysis","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2090062023","doi":"https://doi.org/10.4304/jsw.9.3.748-756","mag":"2090062023"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.9.3.748-756","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.3.748-756","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5100445881","display_name":"Xue Zhang","orcid":"https://orcid.org/0000-0003-4279-899X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055092097","display_name":"Jian Lv","orcid":"https://orcid.org/0000-0001-7633-366X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Cheng Lv","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9357,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75215501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9941999912261963,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9028037786483765},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48379725217819214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46560364961624146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3875264525413513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34706950187683105}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9028037786483765},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48379725217819214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46560364961624146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3875264525413513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34706950187683105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.9.3.748-756","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.9.3.748-756","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1974834040","https://openalex.org/W2029074046","https://openalex.org/W2040329636","https://openalex.org/W2050834445","https://openalex.org/W2059090073","https://openalex.org/W2062102668","https://openalex.org/W2063978378","https://openalex.org/W2065030431","https://openalex.org/W2078204800","https://openalex.org/W2083620785","https://openalex.org/W2084541424","https://openalex.org/W2097486709","https://openalex.org/W2098693229","https://openalex.org/W2114052816","https://openalex.org/W2118585731","https://openalex.org/W2123921160","https://openalex.org/W2125951304","https://openalex.org/W2129131372","https://openalex.org/W2129812935","https://openalex.org/W2130569361","https://openalex.org/W2151933617","https://openalex.org/W2152028285","https://openalex.org/W2160607644","https://openalex.org/W2949483514","https://openalex.org/W6644067407","https://openalex.org/W6665286417","https://openalex.org/W6677656871","https://openalex.org/W6682278937"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W2161229648","https://openalex.org/W2993674027","https://openalex.org/W2130228941"],"abstract_inverted_index":{"It":[0],"is":[1,28,77,107,218],"challenging":[2],"to":[3,109,146,220],"find":[4],"a":[5,154,169,175],"small":[6],"set":[7],"of":[8,19,45,61,68,102,117,199,210],"data":[9,23,36,46,56,83,124,151,156,165,211],"points,":[10,84],"so-called":[11],"exemplars":[12,34,186],"or":[13],"landmarks,":[14],"that":[15,32,94,114,216],"are":[16,125],"nicely":[17],"representative":[18],"itself":[20],"and":[21,111,172,222,231],"other":[22,223],"points.":[24,47,57,152],"Affinity":[25,138],"propagation":[26],"(AP)":[27],"an":[29,133],"effective":[30],"algorithm":[31,119],"identifies":[33],"among":[35,55,150],"points":[37],"by":[38,167,187],"recursively":[39],"sending":[40],"real-valued":[41],"messages":[42],"between":[43],"pairs":[44],"AP":[48,70,189,221],"calculates":[49,159],"the":[50,53,59,66,69,90,99,115,118,148,160,179,185,191,197,208],"message":[51],"using":[52,178],"similarity":[54,62,76,176,193],"Hence,":[58],"construction":[60],"graph":[63,177],"lies":[64,88],"in":[65,207,229],"heart":[67],"algorithm.":[71],"A":[72],"common":[73],"choice":[74],"for":[75,163,226],"negative":[78],"Euclidean":[79,95,105],"distance.":[80],"However,":[81],"most":[82],"especial":[85],"high-dimensional":[86],"data,":[87],"into":[89],"non-Euclidean":[91],"space":[92],"such":[93,113],"distance":[96,106],"cannot":[97],"capture":[98],"real":[100],"structure":[101],"data.":[103],"Moreover,":[104],"sensitive":[108],"noise":[110],"outliers":[112],"performance":[116],"will":[120],"be":[121],"degraded":[122],"when":[123],"grossly":[126],"corrupted.":[127],"In":[128],"this":[129],"paper,":[130],"we":[131,202],"propose":[132],"algorithm,":[134,201],"named":[135],"as":[136],"Sparse":[137],"Propagation":[139],"(SAP),":[140],"which":[141],"adopts":[142],"sparse":[143,161,192],"representation":[144,162,180],"coefficient":[145],"depict":[147],"relationship":[149],"For":[153],"given":[155],"set,":[157],"SAP":[158,217],"each":[164],"point":[166],"solving":[168],"convex":[170],"problem;":[171],"then,":[173],"builds":[174],"coefficient;":[181],"after":[182],"that,":[183],"obtains":[184],"performing":[188],"over":[190],"graph.":[194],"To":[195],"verify":[196],"efficacy":[198],"our":[200],"carried":[203],"out":[204],"numerous":[205],"experiments":[206],"context":[209],"summarization.":[212],"Empirical":[213],"studies":[214],"show":[215],"superior":[219],"baseline":[224],"algorithms":[225],"image":[227],"analysis":[228],"accuracy":[230],"robustness.":[232]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}