{"id":"https://openalex.org/W2053112580","doi":"https://doi.org/10.1109/icdar.2007.4377098","title":"A Shared Parts Model for Document Image Recognition","display_name":"A Shared Parts Model for Document Image Recognition","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2053112580","doi":"https://doi.org/10.1109/icdar.2007.4377098","mag":"2053112580"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4377098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377098","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","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/A5109165506","display_name":"M.D. Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I2801919071","display_name":"University of Illinois System","ror":"https://ror.org/05e94g991","country_code":"US","type":"education","lineage":["https://openalex.org/I2801919071"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Das Gupta","raw_affiliation_strings":["University of Illinois, Urbana-Champaign, USA","Univ. of Illinois, Urbana"],"affiliations":[{"raw_affiliation_string":"University of Illinois, Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Univ. of Illinois, Urbana","institution_ids":["https://openalex.org/I2801919071"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109222302","display_name":"P. Sarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Sarkar","raw_affiliation_strings":["Palo Alto Research Center, Inc.orporated, CA, USA","[Palo Alto Research Center, California]"],"affiliations":[{"raw_affiliation_string":"Palo Alto Research Center, Inc.orporated, CA, USA","institution_ids":["https://openalex.org/I173498003"]},{"raw_affiliation_string":"[Palo Alto Research Center, California]","institution_ids":["https://openalex.org/I173498003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109165506"],"corresponding_institution_ids":["https://openalex.org/I157725225","https://openalex.org/I2801919071"],"apc_list":null,"apc_paid":null,"fwci":0.4391,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.51539339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1163","last_page":"1172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9984999895095825,"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":0.7424798607826233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6462370157241821},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5890834927558899},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5748684406280518},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5549159049987793},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5342962145805359},{"id":"https://openalex.org/keywords/factor-graph","display_name":"Factor graph","score":0.5330513715744019},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.49999475479125977},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.49757030606269836},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4718235433101654},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4609205722808838},{"id":"https://openalex.org/keywords/factoring","display_name":"Factoring","score":0.4429685175418854},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43731677532196045},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.432589054107666},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.423251748085022},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3990784287452698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38608646392822266},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1566975712776184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15554338693618774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13848602771759033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7424798607826233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6462370157241821},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5890834927558899},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5748684406280518},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5549159049987793},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5342962145805359},{"id":"https://openalex.org/C159246509","wikidata":"https://www.wikidata.org/wiki/Q5428725","display_name":"Factor graph","level":3,"score":0.5330513715744019},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.49999475479125977},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.49757030606269836},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4718235433101654},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4609205722808838},{"id":"https://openalex.org/C177225278","wikidata":"https://www.wikidata.org/wiki/Q192674","display_name":"Factoring","level":2,"score":0.4429685175418854},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43731677532196045},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.432589054107666},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.423251748085022},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3990784287452698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38608646392822266},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1566975712776184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15554338693618774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13848602771759033},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2007.4377098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377098","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1880262756","https://openalex.org/W1986107388","https://openalex.org/W2045798786","https://openalex.org/W2079017068","https://openalex.org/W2119755031","https://openalex.org/W2137813581","https://openalex.org/W2143989149","https://openalex.org/W2162820221","https://openalex.org/W2399131513","https://openalex.org/W4231510805","https://openalex.org/W6636494156","https://openalex.org/W6639619044","https://openalex.org/W6647030910"],"related_works":["https://openalex.org/W3152713649","https://openalex.org/W3009052662","https://openalex.org/W959529772","https://openalex.org/W26187695","https://openalex.org/W4297812452","https://openalex.org/W2122977448","https://openalex.org/W4388627352","https://openalex.org/W4368755698","https://openalex.org/W3180766726","https://openalex.org/W2501500329"],"abstract_inverted_index":{"We":[0,86,98],"address":[1],"document":[2],"image":[3,9],"classification":[4,96,119],"by":[5,12,42,51,59,82],"visual":[6],"appearance.":[7],"An":[8],"is":[10,24,68],"represented":[11],"a":[13,39,54,71,93,122],"variable-length":[14],"list":[15],"of":[16,31,126],"visually":[17],"salient":[18],"features.":[19,33],"A":[20],"hierarchical":[21],"Bayesian":[22,66],"network":[23,67],"used":[25],"to":[26,101],"model":[27,35,91],"the":[28,111],"joint":[29],"density":[30],"these":[32],"This":[34],"promotes":[36],"generalization":[37],"from":[38,108],"few":[40],"samples":[41],"sharing":[43],"component":[44],"probability":[45],"distributions":[46],"among":[47],"different":[48],"categories,":[49],"and":[50,74,77,88],"factoring":[52],"out":[53],"common":[55],"displacement":[56],"vector":[57],"shared":[58],"all":[60],"features":[61],"within":[62],"an":[63],"image.":[64],"The":[65],"implemented":[69],"as":[70,114,116],"factor":[72],"graph,":[73],"parameter":[75],"estimation":[76],"inference":[78],"are":[79],"both":[80],"done":[81],"loopy":[83],"belief":[84],"propagation.":[85],"explain":[87],"illustrate":[89],"our":[90],"on":[92,104,117,121],"simple":[94],"shape":[95],"task.":[97],"obtain":[99],"close":[100],"90%":[102],"accuracy":[103],"classifying":[105],"journal":[106],"articles":[107],"memos":[109],"in":[110],"UWASH-II":[112],"dataset,":[113],"well":[115],"other":[118],"tasks":[120],"home-grown":[123],"data":[124],"set":[125],"technical":[127],"articles.":[128]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
