{"id":"https://openalex.org/W140759905","doi":null,"title":"Image classification with bags of local features","display_name":"Image classification with bags of local features","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W140759905","mag":"140759905"},"language":"en","primary_location":{"id":"mag:140759905","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=4311&context=dissertations","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5103365525","display_name":"Erik G. Miller","orcid":"https://orcid.org/0000-0002-3778-9135","observed_orcids":["https://orcid.org/0000-0002-3778-9135"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik Learned-Miller","raw_affiliation_strings":["University of Massachusetts: Amherst#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-3778-9135","affiliations":[{"raw_affiliation_string":"University of Massachusetts: Amherst#TAB#","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057300487","display_name":"Dimitri A. Lisin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitri Lisin","raw_affiliation_strings":["University of Massachusetts: Amherst#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts: Amherst#TAB#","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9291999936103821,"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":0.9291999936103821,"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":0.07079999893903732,"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":0.0,"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/image-classification","display_name":"image classification","score":0.8809999823570251},{"id":"https://openalex.org/keywords/local-features","display_name":"local features","score":0.9340000152587891},{"id":"https://openalex.org/keywords/object-recognition","display_name":"object recognition","score":0.6299999952316284},{"id":"https://openalex.org/keywords/feature-vector-representation","display_name":"feature vector representation","score":0.8799999952316284},{"id":"https://openalex.org/keywords/feature-combination","display_name":"feature combination","score":0.4819999933242798},{"id":"https://openalex.org/keywords/point-correspondence","display_name":"point matching","score":0.5960000157356262},{"id":"https://openalex.org/keywords/cluttered-scenes","display_name":"cluttered scenes","score":0.43299999833106995}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7441709637641907},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7138856649398804},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5463767647743225},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5443091988563538},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5173951387405396},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4920139014720917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4791773557662964},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4765530228614807},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45452725887298584},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4329739511013031},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.43079617619514465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4230145514011383},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4196586608886719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3789653182029724},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:140759905","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=4311&context=dissertations","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W60041936","https://openalex.org/W268527229","https://openalex.org/W1214535274","https://openalex.org/W1485710919","https://openalex.org/W1502069036","https://openalex.org/W1505641881","https://openalex.org/W1528221211","https://openalex.org/W1532372219","https://openalex.org/W1534477342","https://openalex.org/W1560724230","https://openalex.org/W1561442812","https://openalex.org/W1593282625","https://openalex.org/W1596052433","https://openalex.org/W1676820704","https://openalex.org/W1699734612","https://openalex.org/W1969463951","https://openalex.org/W1977670972","https://openalex.org/W1999069785","https://openalex.org/W2011891945","https://openalex.org/W2022735534","https://openalex.org/W2027089475","https://openalex.org/W2049633694","https://openalex.org/W2054813538","https://openalex.org/W2055843181","https://openalex.org/W2057175746","https://openalex.org/W2059432853","https://openalex.org/W2062692054","https://openalex.org/W2071285205","https://openalex.org/W2098693229","https://openalex.org/W2109200236","https://openalex.org/W2110889574","https://openalex.org/W2111308925","https://openalex.org/W2112076978","https://openalex.org/W2115084764","https://openalex.org/W2117138270","https://openalex.org/W2119747362","https://openalex.org/W2124386111","https://openalex.org/W2124735751","https://openalex.org/W2128272608","https://openalex.org/W2134624785","https://openalex.org/W2135174765","https://openalex.org/W2138022083","https://openalex.org/W2138745909","https://openalex.org/W2139212933","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2151531457","https://openalex.org/W2153104898","https://openalex.org/W2154422044","https://openalex.org/W2156909104","https://openalex.org/W2159727956","https://openalex.org/W2160754664","https://openalex.org/W2163352848","https://openalex.org/W2177274842","https://openalex.org/W2325425860","https://openalex.org/W2884421023","https://openalex.org/W3152336969"],"related_works":["https://openalex.org/W2131344117","https://openalex.org/W1514362499","https://openalex.org/W2093926188","https://openalex.org/W2533238022","https://openalex.org/W3140284875","https://openalex.org/W2368311919","https://openalex.org/W2289761512","https://openalex.org/W42625041","https://openalex.org/W2149124953","https://openalex.org/W2096809105"],"abstract_inverted_index":{"Many":[0],"classification":[1,21,213],"techniques":[2,229],"expect":[3],"class":[4,183],"instances":[5],"to":[6,27,53,105,111,137,232],"be":[7,51,87,112,144],"represented":[8],"as":[9,56],"feature":[10,16,31,68,205],"vectors,":[11],"i.e.":[12],"points":[13],"in":[14,46,65,92,150],"a":[15,70,83,233],"space.":[17],"In":[18],"computer":[19],"vision":[20],"problems,":[22],"it":[23,49],"is":[24,148],"often":[25,103],"possible":[26],"generate":[28],"an":[29,35,156,169],"informative":[30],"vector":[32,206],"representation":[33,166,207],"of":[34,63,95,155,172,187,200,208,222],"image,":[36],"for":[37,89,115,181],"example":[38],"using":[39,185,198],"global":[40],"texture":[41],"or":[42,61,75,121,134],"shape":[43,154],"descriptors.":[44],"However,":[45,124],"other":[47],"cases,":[48],"may":[50,142],"beneficial":[52],"treat":[54],"images":[55,110,209],"variable":[57],"size":[58],"unordered":[59,170],"sets":[60],"bags":[62,186,199],"features,":[64],"which":[66],"each":[67],"represents":[69],"localized":[71],"salient":[72],"image":[73,122],"structure":[74],"patch.":[76],"These":[77],"local":[78,100,173],"features":[79,101,188,201],"do":[80],"not":[81,143,162],"require":[82],"segmentation,":[84],"and":[85,97,202,218],"can":[86,211],"useful":[88],"object":[90,118,182],"recognition":[91,184],"the":[93,152,159,224],"presence":[94],"occlusion":[96],"clutter.":[98],"\r\nThe":[99],"are":[102,126,132,161,230],"used":[104,114],"find":[106],"point":[107,140,192],"correspondences":[108,131,141,160],"between":[109],"later":[113],"3D":[116,153],"reconstruction,":[117],"recognition,":[119],"detection,":[120],"retrieval.":[123],"there":[125],"many":[127],"cases":[128],"when":[129],"exact":[130],"difficult":[133],"even":[135],"impossible":[136],"compute.":[138],"Furthermore,":[139],"necessary,":[145],"unless":[146],"one":[147],"interested":[149],"recovering":[151],"object.":[157],"If":[158],"computed,":[163],"then":[164,216],"this":[165,176],"indeed":[167],"constitutes":[168],"set":[171],"features.":[174],"\r\nIn":[175],"dissertation":[177],"we":[178],"present":[179],"methods":[180,221],"without":[189],"relying":[190],"on":[191],"correspondences.":[193],"We":[194,215],"also":[195],"show":[196],"that":[197],"more":[203],"traditional":[204],"together":[210],"improve":[212],"accuracy.":[214],"propose":[217],"evaluate":[219],"several":[220],"combining":[223],"two":[225],"representations.":[226],"The":[227],"proposed":[228],"applied":[231],"challenging":[234],"marine":[235],"science":[236],"domain.":[237]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}