{"id":"https://openalex.org/W2092551159","doi":"https://doi.org/10.4304/jsw.6.7.1353-1360","title":"Effective Improved Graph Transduction","display_name":"Effective Improved Graph Transduction","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2092551159","doi":"https://doi.org/10.4304/jsw.6.7.1353-1360","mag":"2092551159"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.6.7.1353-1360","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.6.7.1353-1360","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/A5049255575","display_name":"Jun Chen","orcid":"https://orcid.org/0000-0001-5944-8561"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019452689","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-6674-6484"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080391451","display_name":"Yajun Gao","orcid":"https://orcid.org/0000-0003-4533-6061"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yajun Gao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408160","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-9620-3413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Linbo Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linbo Luo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665053","display_name":"Wenyu Liu","orcid":"https://orcid.org/0000-0002-4582-7488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenyu Liu","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":0.2575,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59187532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10057","display_name":"Face and Expression Recognition","score":0.9901999831199646,"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":0.8627607822418213},{"id":"https://openalex.org/keywords/transduction","display_name":"Transduction (biophysics)","score":0.6255560517311096},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5025224685668945},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2051498293876648},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.066171795129776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8627607822418213},{"id":"https://openalex.org/C15152581","wikidata":"https://www.wikidata.org/wiki/Q7833966","display_name":"Transduction (biophysics)","level":2,"score":0.6255560517311096},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5025224685668945},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2051498293876648},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.066171795129776},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.6.7.1353-1360","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.6.7.1353-1360","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":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W90657816","https://openalex.org/W1511160855","https://openalex.org/W1585385982","https://openalex.org/W1774304772","https://openalex.org/W2037603696","https://openalex.org/W2048679005","https://openalex.org/W2101210369","https://openalex.org/W2105026917","https://openalex.org/W2107968230","https://openalex.org/W2111569598","https://openalex.org/W2113592823","https://openalex.org/W2117154949","https://openalex.org/W2126491576","https://openalex.org/W2136504847","https://openalex.org/W2152322845","https://openalex.org/W2154455818","https://openalex.org/W2165414070","https://openalex.org/W2750727344","https://openalex.org/W6603658737","https://openalex.org/W6635184699","https://openalex.org/W6659845429","https://openalex.org/W6675974268","https://openalex.org/W6682541512"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2890433954","https://openalex.org/W2053366384","https://openalex.org/W2390279801","https://openalex.org/W4246428841","https://openalex.org/W2358668433","https://openalex.org/W2369434682","https://openalex.org/W2332505650","https://openalex.org/W1981686597"],"abstract_inverted_index":{"In":[0,160],"this":[1,138,161],"paper,":[2,162],"we":[3,33,57,163,202],"focus":[4],"on":[5,22,108,213],"the":[6,23,35,44,51,54,64,68,80,85,89,99,103,109,117,142,146,157,166,179,185,189,193,204,214,226,234,240],"problem":[7],"of":[8,46,53,74,188,199],"shape":[9,31,36,66,124],"retrieval":[10,125],"and":[11,43,67,173,183,208,222],"clustering.":[12],"We":[13],"put":[14],"two":[15],"questions":[16],"together":[17],"because":[18],"they":[19],"are":[20],"based":[21],"same":[24],"method,":[25,172],"called":[26],"Improved":[27],"Graph":[28],"Transduction.":[29],"For":[30],"retrieval,":[32],"regard":[34],"as":[37],"a":[38,41,59,175,197],"node":[39,83,87],"in":[40,102,130,137,156,169],"graph":[42,176,210],"similarity":[45],"shapes":[47],"is":[48,77,152,220,237],"represented":[49],"by":[50],"edge":[52],"graph.\u00a0":[55],"Then":[56],"learn":[58],"new":[60],"distance":[61,143,181,194],"measure":[62,144],"between":[63,145],"query":[65,86],"testing":[69,147,200],"shapes.":[70],"The":[71,92,105,217,230],"main":[72],"contribution":[73],"our":[75,120],"work":[76],"to":[78,97,177],"merge":[79],"most":[81],"likely":[82],"with":[84,116,126,192,225],"during":[88],"learning":[90,171],"process.":[91],"appending":[93],"process":[94],"helps":[95],"us":[96],"mine":[98],"latent":[100],"information":[101,187],"propagation.":[104],"experimental":[106],"results":[107],"MPEG-7":[110],"data":[111,148,190,206],"set":[112,198],"show":[113,232],"that":[114,233],"comparing":[115,224],"existing":[118,135,227],"methods,":[119],"method":[121],"can":[122],"complete":[123],"similar":[127],"correct":[128],"rate":[129],"less":[131],"time\uff1bFor":[132],"clustering":[133,228,241],"task\uff0cthe":[134],"literatures":[136],"domain":[139],"often":[140],"use":[141,174,209],"point":[149],"individual":[150],"which":[151],"proved":[153],"not":[154],"enough":[155],"real":[158],"applications.":[159],"think":[164],"about":[165],"core":[167],"concept":[168],"semi-supervised":[170],"reflect":[178],"original":[180,205],"measure,":[182],"combine":[184],"density":[186],"distribution":[191],"measure.":[195],"Given":[196],"data,":[201],"select":[203],"randomly":[207],"transduction":[211],"iterative":[212],"defined":[215],"graph.":[216],"given":[218],"algorithm":[219,236],"rapid":[221],"steady":[223],"method.":[229],"experiments":[231],"novel":[235],"effective":[238],"for":[239],"task.":[242]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}