{"id":"https://openalex.org/W2092604757","doi":"https://doi.org/10.1145/2708463.2709044","title":"DI-BOW","display_name":"DI-BOW","publication_year":2015,"publication_date":"2015-02-26","ids":{"openalex":"https://openalex.org/W2092604757","doi":"https://doi.org/10.1145/2708463.2709044","mag":"2092604757"},"language":"en","primary_location":{"id":"doi:10.1145/2708463.2709044","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2708463.2709044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Perception and Machine Intelligence","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/A5015744370","display_name":"Tirumarai Selvan","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tirumarai Selvan","raw_affiliation_strings":["Department of CS&amp;E, IIT Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CS&amp;E, IIT Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069195591","display_name":"Suranjana Samanta","orcid":"https://orcid.org/0000-0002-9958-4258"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suranjana Samanta","raw_affiliation_strings":["Department of CS&amp;E, IIT Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CS&amp;E, IIT Madras, India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000019969","display_name":"Sukhendu Das","orcid":"https://orcid.org/0000-0002-2823-9211"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukhendu Das","raw_affiliation_strings":["Department of CS&amp;E, IIT Madras, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CS&amp;E, IIT Madras, India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05092284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"175","last_page":"182"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9976000189781189,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9965999722480774,"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":0.7607176899909973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7223573923110962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6865845322608948},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6730053424835205},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5654695630073547},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5631752610206604},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5436903238296509},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.5132308006286621},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5092767477035522},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4988231658935547},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44567161798477173},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4424666464328766},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42404696345329285},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36573782563209534},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13614517450332642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7607176899909973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7223573923110962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6865845322608948},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6730053424835205},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5654695630073547},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5631752610206604},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5436903238296509},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.5132308006286621},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5092767477035522},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4988231658935547},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44567161798477173},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4424666464328766},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42404696345329285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36573782563209534},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13614517450332642},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2708463.2709044","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2708463.2709044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Perception and Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W123476658","https://openalex.org/W146900863","https://openalex.org/W1722318740","https://openalex.org/W1852255964","https://openalex.org/W1890834058","https://openalex.org/W1978920452","https://openalex.org/W2031342017","https://openalex.org/W2064447488","https://openalex.org/W2099501835","https://openalex.org/W2103658758","https://openalex.org/W2103851188","https://openalex.org/W2104068492","https://openalex.org/W2106409489","https://openalex.org/W2115403315","https://openalex.org/W2119605622","https://openalex.org/W2120354757","https://openalex.org/W2128053425","https://openalex.org/W2138309071","https://openalex.org/W2141129816","https://openalex.org/W2149466042","https://openalex.org/W2160547390","https://openalex.org/W2162915993","https://openalex.org/W2165698076","https://openalex.org/W2166742463","https://openalex.org/W2602247401","https://openalex.org/W6604957493"],"related_works":["https://openalex.org/W3080655457","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W3186065094","https://openalex.org/W4287263085","https://openalex.org/W3093803318","https://openalex.org/W3204418343","https://openalex.org/W4390401377","https://openalex.org/W4312617661"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,24,36,58,66,79],"method":[4,52,81],"to":[5,16,82,116],"learn":[6,83],"Bag-Of-Words":[7],"(BOW)":[8],"descriptor":[9,60,97,123],"for":[10,33,53,73,133],"image":[11,56],"representation":[12],"which":[13],"is":[14,21,31],"robust":[15],"domain":[17,130],"shift.":[18],"Domain":[19],"shift":[20],"necessary":[22],"when":[23],"classifier":[25],"trained":[26],"on":[27,35,65,121],"one":[28],"dataset":[29,38,68],"(source)":[30],"applied":[32],"classification":[34],"different":[37,43],"(target).":[39],"Datasets":[40],"acquired":[41],"with":[42,61],"conditions,":[44],"have":[45],"dissimilar":[46],"feature":[47],"distributions":[48],"among":[49],"them.":[50],"Traditional":[51],"representing":[54],"each":[55],"by":[57,127],"BOW":[59,95],"the":[62],"vocabulary":[63],"learnt":[64],"reference":[67],"does":[69],"not":[70],"work":[71],"well":[72],"such":[74],"cross-dataset":[75],"tasks.":[76,118],"We":[77],"propose":[78],"new":[80],"an":[84],"amended":[85],"dictionary":[86,101],"composed":[87],"of":[88],"class":[89,105],"specific":[90],"atoms.":[91],"The":[92],"proposed":[93],"Domain-Invariant":[94],"(DI-BOW)":[96],"built":[98],"from":[99],"this":[100],"has":[102],"much":[103],"better":[104],"discriminability":[106],"and":[107],"inherently":[108],"attenuates":[109],"domain-specific":[110],"characteristics,":[111],"making":[112],"it":[113],"more":[114],"suitable":[115],"cross-domain":[117],"Results":[119],"based":[120],"DI-BOW":[122],"reveal":[124],"its":[125],"efficiency,":[126],"outperforming":[128],"state-of-the-art":[129],"adaptation":[131],"techniques":[132],"object":[134],"recognition.":[135]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
