{"id":"https://openalex.org/W2032289848","doi":"https://doi.org/10.1145/2499788.2499860","title":"Semi-supervised image classification based on sparse coding spatial pyramid matching","display_name":"Semi-supervised image classification based on sparse coding spatial pyramid matching","publication_year":2013,"publication_date":"2013-08-17","ids":{"openalex":"https://openalex.org/W2032289848","doi":"https://doi.org/10.1145/2499788.2499860","mag":"2032289848"},"language":"en","primary_location":{"id":"doi:10.1145/2499788.2499860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","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/A5055912225","display_name":"Hanying Chen","orcid":"https://orcid.org/0000-0002-7435-1423"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hanying Chen","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015586553","display_name":"Guiquan Liu","orcid":"https://orcid.org/0000-0003-0653-3935"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiquan Liu","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055912225"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10368282,"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":"273","last_page":"276"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926999807357788,"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":0.9907000064849854,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7436744570732117},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7306272983551025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.72733074426651},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6081603169441223},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5598708391189575},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5595970153808594},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5137401819229126},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5091521143913269},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5031241774559021},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4255063831806183},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3737517297267914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17299261689186096}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7436744570732117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7306272983551025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.72733074426651},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6081603169441223},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5598708391189575},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5595970153808594},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5137401819229126},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5091521143913269},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5031241774559021},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4255063831806183},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3737517297267914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17299261689186096},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2499788.2499860","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2499788.2499860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1664825283","https://openalex.org/W1994213117","https://openalex.org/W2005743512","https://openalex.org/W2036054070","https://openalex.org/W2080509359","https://openalex.org/W2097018403","https://openalex.org/W2104290444","https://openalex.org/W2113606819","https://openalex.org/W2139823104","https://openalex.org/W2147625498","https://openalex.org/W2148596671","https://openalex.org/W2151103935","https://openalex.org/W2162915993","https://openalex.org/W2997701990","https://openalex.org/W3018189936","https://openalex.org/W6676903177"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W2998105788","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829","https://openalex.org/W2138494306","https://openalex.org/W2579633471"],"abstract_inverted_index":{"Image":[0],"classification,":[1],"namely":[2],"classifying":[3,69],"thousands":[4],"of":[5,27,55,65,114,153,159,162,184],"images":[6,15,70,116],"into":[7],"different":[8],"classes,":[9],"is":[10,47,192],"an":[11],"important":[12],"task":[13],"in":[14,31,41,84],"organization.":[16],"Although":[17],"many":[18],"existing":[19],"methods":[20],"attempt":[21],"to":[22,50,61,110,167],"address":[23],"this":[24,82,85],"task,":[25],"most":[26],"those":[28],"are":[29],"proposed":[30,88,140],"a":[32,89,131,143],"supervised":[33],"way":[34],"based":[35,95],"on":[36,96,123,176],"the":[37,44,106,112,119,124,135,139,150,160,182,189],"labeled":[38,45,75,120,190],"data.":[39],"However,":[40],"real":[42,178],"world":[43,179],"data":[46,57,73,76,154,191],"usually":[48],"hard":[49],"obtain":[51],"while":[52],"large":[53],"amounts":[54],"unlabeled":[56,72,115,163],"can":[58,147],"be":[59],"easier":[60],"acquire.":[62],"The":[63],"problem":[64],"effectively":[66,148],"and":[67,146,170],"efficiently":[68],"combining":[71],"with":[74],"remains":[77],"pretty":[78],"much":[79],"open.":[80],"To":[81],"end,":[83],"paper":[86],"we":[87,104,128],"novel":[90],"semi-supervised":[91,136],"image":[92,126,172],"classification":[93],"method":[94,109,141,186],"sparse":[97],"coding":[98],"spatial":[99],"pyramid":[100],"matching":[101],"(ScSPM).":[102],"Specifically,":[103],"use":[105,158],"unsupervised":[107],"ScSPM":[108],"get":[111],"representation":[113],"as":[117,134],"like":[118],"images.":[121],"Based":[122],"obtained":[125],"representation,":[127],"then":[129],"propose":[130],"linear":[132,144],"LapSVM":[133],"classifier.":[137],"Since":[138],"has":[142],"kernel":[145],"explore":[149],"intrinsic":[151],"structure":[152],"by":[155],"making":[156],"full":[157],"information":[161],"data,":[164],"it":[165],"leads":[166],"more":[168],"accurate":[169],"efficient":[171],"classification.":[173],"Experimental":[174],"results":[175],"two":[177],"datasets":[180],"demonstrate":[181],"effectiveness":[183],"our":[185],"especially":[187],"when":[188],"very":[193],"little.":[194]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
