{"id":"https://openalex.org/W2079930597","doi":"https://doi.org/10.1007/s11263-009-0287-0","title":"Learning Active Basis Model for Object Detection and Recognition","display_name":"Learning Active Basis Model for Object Detection and Recognition","publication_year":2009,"publication_date":"2009-08-25","ids":{"openalex":"https://openalex.org/W2079930597","doi":"https://doi.org/10.1007/s11263-009-0287-0","mag":"2079930597"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-009-0287-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-009-0287-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-009-0287-0.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-009-0287-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101780958","display_name":"Ying Wu","orcid":"https://orcid.org/0009-0001-6768-5118"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ying Nian Wu","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013974468","display_name":"Zhangzhang Si","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhangzhang Si","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045467749","display_name":"Haifeng Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haifeng Gong","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, USA","Lotus Hill Research Institute, Ezhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Lotus Hill Research Institute, Ezhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034228010","display_name":"Song\u2010Chun Zhu","orcid":"https://orcid.org/0009-0008-0876-8117"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song-Chun Zhu","raw_affiliation_strings":["Department of Statistics, University of California, Los Angeles, USA","Lotus Hill Research Institute, Ezhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Lotus Hill Research Institute, Ezhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101780958"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":13.7777,"has_fulltext":true,"cited_by_count":155,"citation_normalized_percentile":{"value":0.99075259,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"90","issue":"2","first_page":"198","last_page":"235"},"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":0.9980000257492065,"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":0.9980000257492065,"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":0.9977999925613403,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/basis","display_name":"Basis (linear algebra)","score":0.8281967639923096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7041696310043335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6271516680717468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5815325975418091},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.5575300455093384},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.539253830909729},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.508730947971344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4753541648387909},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4668814539909363},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.4460947811603546},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43909382820129395},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.4296950697898865},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.414799302816391},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30434608459472656},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.2934563159942627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2910674512386322},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.1863517463207245},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.08602312207221985},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08525791764259338}],"concepts":[{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.8281967639923096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7041696310043335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6271516680717468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5815325975418091},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.5575300455093384},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.539253830909729},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.508730947971344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4753541648387909},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4668814539909363},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.4460947811603546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43909382820129395},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.4296950697898865},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.414799302816391},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30434608459472656},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2934563159942627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2910674512386322},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.1863517463207245},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.08602312207221985},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08525791764259338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1007/s11263-009-0287-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-009-0287-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-009-0287-0.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.2474","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.2474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.ucla.edu/~sczhu/papers/IJCV_ActiveBasis.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.3113","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.3113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.ucla.edu/~sczhu/papers/IJCV_Active_Basis_reprint.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.210.5548","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.5548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.ucla.edu/~ywu/AB/journal.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.7388","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.7388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.ucla.edu/~sczhu/papers/IJCV_Active_Basis_reprint.pdf","raw_type":"text"},{"id":"pmh:oai:escholarship.org/ark:/13030/qt2kz1g5np","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/2kz1g5np","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Vision, vol 90, iss 2","raw_type":"article"},{"id":"pmh:qt2kz1g5np","is_oa":false,"landing_page_url":"http://www.escholarship.org/uc/item/2kz1g5np","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wu, Ying Nian; Si, Zhangzhang; Gong, Haifeng; & Zhu, Song-Chun. (2010). Learning Active Basis Model for Object Detection and Recognition. International Journal of Computer Vision, 90(2), pp 198-235. doi: 10.1007/s11263-009-0287-0. Retrieved from: http://www.escholarship.org/uc/item/2kz1g5np","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s11263-009-0287-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-009-0287-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-009-0287-0.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1296766623","display_name":"RI: Large Scale Object Recognition and  Ground Truth Representation Using Stochastic Image Grammar","funder_award_id":"0713652","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3442963577","display_name":"From Information Scaling to Regimes of Statistical Models of Natural Image Patterns","funder_award_id":"0707055","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6258415954","display_name":null,"funder_award_id":"Chinese","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7974407498","display_name":"Collaborative Proposal: Integrated Computational System for Probability Based Multi-Scale Model (PMM) of Ductile Fracture in Lightweight Alloys","funder_award_id":"0728203","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306159","display_name":"W. M. Keck Foundation","ror":"https://ror.org/000dswa46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2079930597.pdf","grobid_xml":"https://content.openalex.org/works/W2079930597.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1532372219","https://openalex.org/W1544729927","https://openalex.org/W1558878804","https://openalex.org/W1821057786","https://openalex.org/W1964724001","https://openalex.org/W1970255615","https://openalex.org/W1988790447","https://openalex.org/W2006500012","https://openalex.org/W2049633694","https://openalex.org/W2052961007","https://openalex.org/W2095757522","https://openalex.org/W2099972257","https://openalex.org/W2100183835","https://openalex.org/W2104095591","https://openalex.org/W2112796928","https://openalex.org/W2125641978","https://openalex.org/W2126174118","https://openalex.org/W2128057924","https://openalex.org/W2145889472","https://openalex.org/W2149194912","https://openalex.org/W2149396346","https://openalex.org/W2151693816","https://openalex.org/W2152826865","https://openalex.org/W2154791445","https://openalex.org/W2160842254","https://openalex.org/W2163176424","https://openalex.org/W2167828171","https://openalex.org/W2504108613","https://openalex.org/W3097096317","https://openalex.org/W3169507310","https://openalex.org/W4205969993","https://openalex.org/W4233761317","https://openalex.org/W4238596406","https://openalex.org/W4241541897","https://openalex.org/W4252182960"],"related_works":["https://openalex.org/W1710806717","https://openalex.org/W2394322125","https://openalex.org/W2355521768","https://openalex.org/W2055938957","https://openalex.org/W4210684035","https://openalex.org/W2902714807","https://openalex.org/W2803685646","https://openalex.org/W2137044549","https://openalex.org/W1643168517","https://openalex.org/W4250797302"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"an":[3,37,119,159],"active":[4,38,77,109,185,209],"basis":[5,78,89,110,186],"model,":[6,28,79],"a":[7,12,29,43,113,144,165],"shared":[8,99,129],"sketch":[9,100,143],"algorithm,":[10],"and":[11,21,53,64,84,135,173,192],"computational":[13,166],"architecture":[14,167],"of":[15,36,42,46,87,107,115,154,179,195,206],"sum-max":[16],"maps":[17,172,182,198],"for":[18],"representing,":[19],"learning,":[20],"recognizing":[22],"deformable":[23,30,156],"templates.":[24],"In":[25],"our":[26],"generative":[27],"template":[31,157,201],"is":[32,121,128,138],"in":[33,80,148],"the":[34,73,82,85,88,98,105,108,126,132,136,155,170,174,180,184,189,193,196,200,204,207],"form":[35],"basis,":[39],"which":[40],"consists":[41],"small":[44],"number":[45],"Gabor":[47,116],"wavelet":[48],"elements":[49,56,106],"at":[50,123],"selected":[51,122],"locations":[52,63,83],"orientations.":[54],"These":[55],"are":[57,68],"allowed":[58],"to":[59,71,140,187],"slightly":[60],"perturb":[61],"their":[62],"orientations":[65,86],"before":[66],"they":[67],"linearly":[69],"combined":[70],"generate":[72],"observed":[74],"image.":[75,151],"The":[76,102,152,177],"particular,":[81],"elements,":[90],"can":[91,161],"be":[92,162],"learned":[93],"from":[94,112,158],"training":[95,133,150],"images":[96],"by":[97,130,164,203],"algorithm.":[101],"algorithm":[103],"selects":[104],"sequentially":[111],"dictionary":[114],"wavelets.":[117],"When":[118],"element":[120,127,137],"each":[124,149],"step,":[125],"all":[131],"images,":[134],"perturbed":[139],"encode":[141],"or":[142],"nearby":[145],"edge":[146],"segment":[147],"recognition":[153],"image":[160,190],"accomplished":[163],"that":[168],"alternates":[169],"sum":[171,197],"max":[175,181],"maps.":[176],"computation":[178,194],"deforms":[183],"match":[188],"data,":[191],"scores":[199],"matching":[202],"log-likelihood":[205],"deformed":[208],"basis.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":23},{"year":2013,"cited_by_count":23},{"year":2012,"cited_by_count":14}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}