{"id":"https://openalex.org/W2128282553","doi":"https://doi.org/10.1109/cvprw.2008.4563066","title":"Integration of active learning in a collaborative CRF","display_name":"Integration of active learning in a collaborative CRF","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2128282553","doi":"https://doi.org/10.1109/cvprw.2008.4563066","mag":"2128282553"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5075851385","display_name":"Oscar Martinez","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oscar Martinez","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","Dept. of Electr. & Comput. Eng., Univ. of Miami, Coral Gables, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Miami, Coral Gables, FL","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109247074","display_name":"Gabriel Tsechpenakis","orcid":null},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gabriel Tsechpenakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","Dept. of Electr. & Comput. Eng., Univ. of Miami, Coral Gables, FL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Miami, Coral Gables, FL","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1755,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85086804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9980000257492065,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9968000054359436,"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/conditional-random-field","display_name":"Conditional random field","score":0.9115065932273865},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8766472339630127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7331773042678833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242238521575928},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6418865919113159},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5909546613693237},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.5830992460250854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5626139640808105},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5500385761260986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4964507222175598},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.46011996269226074},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4539896249771118},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4308674931526184},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4293006360530853},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22093135118484497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11755824089050293}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9115065932273865},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8766472339630127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7331773042678833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242238521575928},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6418865919113159},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5909546613693237},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.5830992460250854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5626139640808105},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5500385761260986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4964507222175598},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.46011996269226074},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4539896249771118},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4308674931526184},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4293006360530853},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22093135118484497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11755824089050293},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2008.4563066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.1221","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.1221","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/WorkShops/data/papers/117.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W206083256","https://openalex.org/W1618905105","https://openalex.org/W1651266332","https://openalex.org/W2092205991","https://openalex.org/W2097323414","https://openalex.org/W2119747362","https://openalex.org/W2120995095","https://openalex.org/W2124189704","https://openalex.org/W2128768858","https://openalex.org/W2133324003","https://openalex.org/W2140539195","https://openalex.org/W2140681449","https://openalex.org/W2147880316","https://openalex.org/W2151103935","https://openalex.org/W2153565331","https://openalex.org/W2154422044","https://openalex.org/W2165828254","https://openalex.org/W6608418449","https://openalex.org/W6636501900","https://openalex.org/W6682082992","https://openalex.org/W6684893555"],"related_works":["https://openalex.org/W2163278254","https://openalex.org/W2043914344","https://openalex.org/W155708904","https://openalex.org/W1574213390","https://openalex.org/W4302218341","https://openalex.org/W2950342388","https://openalex.org/W2088024891","https://openalex.org/W2129999749","https://openalex.org/W1966538595","https://openalex.org/W2006196395"],"abstract_inverted_index":{"We":[0,19,98],"present":[1],"an":[2],"active":[3],"learning":[4],"approach":[5,104],"for":[6],"visual":[7],"multiple":[8,55,58,109,112],"object":[9],"class":[10,28,113],"recognition,":[11],"using":[12,62,105],"a":[13],"conditional":[14],"random":[15],"field":[16],"(CRF)":[17],"formulation.":[18],"name":[20],"our":[21,103],"graphical":[22],"model":[23,50],"dasiacollaborativepsila,":[24],"because":[25],"it":[26],"infers":[27],"posteriors":[29],"in":[30,31,72,95],"stances":[32],"of":[33,46,65,102],"occlusion":[34],"and":[35,43,57,111],"missing":[36],"information":[37],"by":[38],"assessing":[39],"the":[40,63,91,96,100],"joint":[41],"appearance":[42],"geometric":[44],"assortment":[45],"neighboring":[47],"sites.":[48],"The":[49],"can":[51],"handle":[52],"scenes":[53,107],"containing":[54,108],"classes":[56],"objects":[59,110],"inherently":[60],"while":[61],"confidence":[64],"its":[66],"predictions":[67],"to":[68,83,89],"enforce":[69],"label":[70],"uniformity":[71],"areas":[73],"where":[74],"evidence":[75],"supports":[76],"similarity.":[77],"Our":[78],"method":[79],"uses":[80],"classification":[81],"uncertainty":[82],"dynamically":[84],"select":[85],"new":[86],"training":[87],"samples":[88],"retrain":[90],"discriminative":[92],"classifiers":[93],"used":[94],"CRF.":[97],"demonstrate":[99],"performance":[101],"cluttered":[106],"instances.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
