{"id":"https://openalex.org/W115570056","doi":null,"title":"Maximum similarity based feature matching and adaptive multiple kernel learning for object recognition","display_name":"Maximum similarity based feature matching and adaptive multiple kernel learning for object recognition","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W115570056","mag":"115570056"},"language":"en","primary_location":{"id":"pmh:oai:summit.sfu.ca:10090","doi":null,"is_oa":true,"landing_page_url":"http://summit.sfu.ca/item/10090","pdf_url":"http://summit.sfu.ca/item/10090","source":{"id":"https://openalex.org/S4306400490","display_name":"Summit (Simon Fraser University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I18014758","host_organization_name":"Simon Fraser University","host_organization_lineage":["https://openalex.org/I18014758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://summit.sfu.ca/item/10090","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048506332","display_name":"Ziming Zhang","orcid":"https://orcid.org/0000-0002-0921-8298","observed_orcids":["https://orcid.org/0000-0002-0921-8298"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ziming Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0921-8298","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5048506332"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9955999851226807,"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":0.9955999851226807,"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":0.004100000020116568,"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":9.999999747378752e-05,"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/object-recognition","display_name":"object recognition","score":0.996999979019165},{"id":"https://openalex.org/keywords/feature-matching","display_name":"feature matching","score":0.9020000100135803},{"id":"https://openalex.org/keywords/image-similarity","display_name":"image similarity","score":0.597000002861023},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"multiple kernel learning","score":0.8090000152587891},{"id":"https://openalex.org/keywords/adaptive-kernel-learning","display_name":"adaptive kernel learning","score":0.6909999847412109},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8880000114440918},{"id":"https://openalex.org/keywords/biconvex-optimization","display_name":"biconvex optimization","score":0.9139999747276306},{"id":"https://openalex.org/keywords/kernel-learning","display_name":"kernel learning","score":0.4339999854564667},{"id":"https://openalex.org/keywords/visual-information","display_name":"visual information","score":0.5979999899864197}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6885952353477478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6615678668022156},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6001478433609009},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5853923559188843},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5461254715919495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5208300352096558},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4713427722454071},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.46749913692474365},{"id":"https://openalex.org/C2779597229","wikidata":"https://www.wikidata.org/wiki/Q17146505","display_name":"Similarity learning","level":3,"score":0.44634389877319336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4368606209754944},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.422651469707489},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3466000556945801},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29134324193000793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13879543542861938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11088302731513977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10610926151275635},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.060067832469940186},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:summit.sfu.ca:10090","doi":null,"is_oa":true,"landing_page_url":"http://summit.sfu.ca/item/10090","pdf_url":"http://summit.sfu.ca/item/10090","source":{"id":"https://openalex.org/S4306400490","display_name":"Summit (Simon Fraser University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I18014758","host_organization_name":"Simon Fraser University","host_organization_lineage":["https://openalex.org/I18014758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"pmh:oai:summit.sfu.ca:node-10090","doi":null,"is_oa":true,"landing_page_url":"https://summit.sfu.ca/_flysystem/fedora/sfu_migrate/10090/etd5994.pdf","pdf_url":"https://summit.sfu.ca/_flysystem/fedora/sfu_migrate/10090/etd5994.pdf","source":{"id":"https://openalex.org/S4306400490","display_name":"Summit (Simon Fraser University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I18014758","host_organization_name":"Simon Fraser University","host_organization_lineage":["https://openalex.org/I18014758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"mag:115570056","doi":null,"is_oa":false,"landing_page_url":"https://ir.lib.sfu.ca/item/10090","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":{"id":"pmh:oai:summit.sfu.ca:10090","doi":null,"is_oa":true,"landing_page_url":"http://summit.sfu.ca/item/10090","pdf_url":"http://summit.sfu.ca/item/10090","source":{"id":"https://openalex.org/S4306400490","display_name":"Summit (Simon Fraser University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I18014758","host_organization_name":"Simon Fraser University","host_organization_lineage":["https://openalex.org/I18014758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322551","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W115570056.pdf","grobid_xml":"https://content.openalex.org/works/W115570056.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W2169610","https://openalex.org/W57288880","https://openalex.org/W584634945","https://openalex.org/W1496659369","https://openalex.org/W1505419431","https://openalex.org/W1540007258","https://openalex.org/W1554544485","https://openalex.org/W1574496672","https://openalex.org/W1576445103","https://openalex.org/W1577370571","https://openalex.org/W1608376408","https://openalex.org/W1625255723","https://openalex.org/W1677409904","https://openalex.org/W1744214816","https://openalex.org/W1999693420","https://openalex.org/W2026942141","https://openalex.org/W2031823405","https://openalex.org/W2032822842","https://openalex.org/W2042976790","https://openalex.org/W2057175746","https://openalex.org/W2097018403","https://openalex.org/W2102680763","https://openalex.org/W2103234384","https://openalex.org/W2103897297","https://openalex.org/W2104978738","https://openalex.org/W2107034620","https://openalex.org/W2108444897","https://openalex.org/W2115313253","https://openalex.org/W2118718620","https://openalex.org/W2121033924","https://openalex.org/W2121947440","https://openalex.org/W2122808326","https://openalex.org/W2127597232","https://openalex.org/W2129156852","https://openalex.org/W2134692386","https://openalex.org/W2142422094","https://openalex.org/W2145072179","https://openalex.org/W2145406111","https://openalex.org/W2150760714","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2154422044","https://openalex.org/W2154462399","https://openalex.org/W2154683974","https://openalex.org/W2155904486","https://openalex.org/W2156406284","https://openalex.org/W2157635638","https://openalex.org/W2159537329","https://openalex.org/W2159727956","https://openalex.org/W2162762921","https://openalex.org/W2162915993","https://openalex.org/W2165315123","https://openalex.org/W2168002178","https://openalex.org/W2172184802","https://openalex.org/W2177274842","https://openalex.org/W2537929378","https://openalex.org/W2538008885","https://openalex.org/W2624258464"],"related_works":["https://openalex.org/W2134692386","https://openalex.org/W2112019442","https://openalex.org/W2149624593","https://openalex.org/W6986734393","https://openalex.org/W1977672966","https://openalex.org/W2115708871","https://openalex.org/W2122194009","https://openalex.org/W1503387401","https://openalex.org/W2162880125","https://openalex.org/W2111073379"],"abstract_inverted_index":{"In":[0],"this":[1],"thesis,":[2],"we":[3,90],"perform":[4],"object":[5,48],"recognition":[6,71],"using":[7],"(i)":[8],"maximum":[9,75],"similarity":[10,61,76,80],"based":[11,72,108],"feature":[12],"matching,":[13],"and":[14,39,64,124],"(ii)":[15],"adaptive":[16,94],"multiple":[17,95],"kernel":[18,96,103],"learning.Images":[19],"are":[20,115,127],"likely":[21],"more":[22],"similar":[23],"if":[24],"they":[25],"contain":[26],"objects":[27],"within":[28],"the":[29,44,74,106,118,132],"same":[30],"categories,":[31],"so":[32,58],"how":[33],"to":[34,52,99],"measure":[35],"image":[36,121],"similarities":[37],"correctly":[38],"efficiently":[40],"is":[41,62],"one":[42],"of":[43],"critical":[45],"issues":[46],"for":[47,70],"recognition.We":[49],"first":[50],"propose":[51,91],"match":[53],"features":[54],"between":[55],"two":[56,112],"images":[57],"that":[59],"their":[60,125],"maximized,":[63],"employ":[65],"support":[66],"vector":[67],"machines":[68],"(SVMs)":[69],"on":[73,109,117],"matrix.Secondly,":[77],"given":[78],"several":[79],"matrices":[81],"(kernels)":[82],"created":[83],"by":[84],"different":[85],"visual":[86],"information":[87],"in":[88],"images,":[89],"a":[92],"novel":[93],"learning":[97],"technique":[98],"generate":[100],"an":[101],"optimal":[102],"from":[104],"all":[105],"kernels":[107],"biconvex":[110],"optimization.These":[111],"new":[113],"approaches":[114],"tested":[116],"most":[119],"recent":[120],"benchmark":[122],"datasets":[123],"results":[126],"impressive,":[128],"equalling":[129],"or":[130],"bettering":[131],"state-of-the-art":[133],"results.":[134]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2016-06-24T00:00:00"}
