{"id":"https://openalex.org/W2161630156","doi":"https://doi.org/10.1109/cvpr.2008.4587601","title":"Loose shape model for discriminative learning of object categories","display_name":"Loose shape model for discriminative learning of object categories","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2161630156","doi":"https://doi.org/10.1109/cvpr.2008.4587601","mag":"2161630156"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5068276075","display_name":"Margarita Osadchy","orcid":"https://orcid.org/0000-0001-5480-5099"},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Margarita Osadchy","raw_affiliation_strings":["Computer Science Department, University of Haifa, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098418649","display_name":"Elran Morash","orcid":null},"institutions":[{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Elran Morash","raw_affiliation_strings":["Computer Science Department, University of Haifa, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068276075"],"corresponding_institution_ids":["https://openalex.org/I91203450"],"apc_list":null,"apc_paid":null,"fwci":0.3547,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68210386,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.688416063785553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869741082191467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6163036823272705},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5998495817184448},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5681478977203369},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5106213688850403},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.487284779548645},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.44127559661865234},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.440976083278656},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.43588322401046753},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4310559928417206},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41307711601257324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26719430088996887}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.688416063785553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869741082191467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6163036823272705},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5998495817184448},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5681478977203369},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5106213688850403},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.487284779548645},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.44127559661865234},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.440976083278656},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.43588322401046753},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4310559928417206},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41307711601257324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26719430088996887},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.329.5489","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.5489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/261.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1592774159","https://openalex.org/W1603829220","https://openalex.org/W1625255723","https://openalex.org/W1699734612","https://openalex.org/W2007326887","https://openalex.org/W2030536784","https://openalex.org/W2101652080","https://openalex.org/W2103658758","https://openalex.org/W2104978738","https://openalex.org/W2105488551","https://openalex.org/W2115313253","https://openalex.org/W2115733720","https://openalex.org/W2148999380","https://openalex.org/W2151103935","https://openalex.org/W2153509747","https://openalex.org/W2162915993","https://openalex.org/W2164877691","https://openalex.org/W2168002178","https://openalex.org/W2171896402","https://openalex.org/W2186094539","https://openalex.org/W2222512263","https://openalex.org/W2798909945","https://openalex.org/W6635368981","https://openalex.org/W6635964611","https://openalex.org/W6675086543","https://openalex.org/W6683978607","https://openalex.org/W6685292306"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2965546495","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W4311804456","https://openalex.org/W3103844505","https://openalex.org/W1987484445","https://openalex.org/W2116862786"],"abstract_inverted_index":{"We":[0,12,22],"consider":[1],"the":[2,62,76,90,94,105,109,115,120,127],"problem":[3],"of":[4,28,49,114],"visual":[5,37],"categorization":[6],"with":[7,75,89],"minimal":[8],"supervision":[9],"during":[10],"training.":[11],"propose":[13],"a":[14,26,36,41,57],"partbased":[15],"model":[16,129],"that":[17,100],"loosely":[18],"captures":[19],"structural":[20],"information.":[21],"represent":[23],"images":[24,68],"as":[25,133],"collection":[27],"parts":[29,73],"characterized":[30],"by":[31,40,71,135],"an":[32,46],"appearance":[33],"codeword":[34,78],"from":[35,93,108],"vocabulary":[38],"and":[39,118],"neighborhood":[42],"context,":[43],"organized":[44],"in":[45,56],"ordered":[47],"set":[48],"bag-of-features":[50],"representations.":[51],"These":[52],"bags":[53],"are":[54],"computed":[55],"local":[58],"overlapping":[59],"areas":[60],"around":[61],"part.":[63],"A":[64],"semantic":[65],"distance":[66],"between":[67],"is":[69,85],"obtained":[70,92],"matching":[72],"associated":[74],"same":[77],"using":[79,87],"their":[80,140],"context":[81],"distributions.":[82],"The":[83,97],"classification":[84,106],"done":[86],"SVM":[88],"kernel":[91],"proposed":[95,134],"distance.":[96],"experiments":[98],"show":[99],"our":[101],"method":[102],"outperforms":[103,126],"all":[104],"methods":[107],"PASCAL":[110],"challenge":[111],"on":[112,139],"half":[113],"VOC2006":[116],"categories":[117],"has":[119],"best":[121],"average":[122],"EER.":[123],"It":[124],"also":[125],"constellation":[128],"learned":[130],"via":[131],"boosting,":[132],"Bar-Hillel":[136],"et":[137],"al.":[138],"data":[141],"set,":[142],"which":[143],"contains":[144],"more":[145],"rigid":[146],"objects.":[147]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
