{"id":"https://openalex.org/W2186384252","doi":"https://doi.org/10.1109/mmsp.2015.7340859","title":"Combining deep learning and unsupervised clustering to improve scene recognition performance","display_name":"Combining deep learning and unsupervised clustering to improve scene recognition performance","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2186384252","doi":"https://doi.org/10.1109/mmsp.2015.7340859","mag":"2186384252"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2015.7340859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","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/A5081236984","display_name":"Armin Kappeler","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Armin Kappeler","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086512505","display_name":"Robin D. Morris","orcid":"https://orcid.org/0000-0002-0784-8237"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robin D. Morris","raw_affiliation_strings":["Yahoo! Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013101507","display_name":"Amar Ramesh Kamat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amar Ramesh Kamat","raw_affiliation_strings":["Yahoo! Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020991500","display_name":"Nikhil Rasiwasia","orcid":"https://orcid.org/0000-0002-7046-851X"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikhil Rasiwasia","raw_affiliation_strings":["Yahoo! Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060213935","display_name":"Gaurav Aggarval","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaurav Aggarval","raw_affiliation_strings":["Yahoo! Inc., Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081236984"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.1999,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59165506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","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":1.0,"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":1.0,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8109723329544067},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7911742329597473},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7127881050109863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6997886300086975},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5379863977432251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5224708318710327},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5136870741844177},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5081281661987305},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5049043297767639},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4991436004638672},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4884549677371979},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4870160222053528},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4794291853904724},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4769117534160614},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4609189033508301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3538774847984314}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8109723329544067},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911742329597473},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7127881050109863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6997886300086975},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5379863977432251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5224708318710327},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5136870741844177},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5081281661987305},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5049043297767639},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4991436004638672},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4884549677371979},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4870160222053528},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4794291853904724},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4769117534160614},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4609189033508301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3538774847984314},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2015.7340859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2015.7340859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1486632395","https://openalex.org/W1895577753","https://openalex.org/W1977766639","https://openalex.org/W2018274420","https://openalex.org/W2031489346","https://openalex.org/W2062118960","https://openalex.org/W2067191022","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2120480077","https://openalex.org/W2142838865","https://openalex.org/W2150832512","https://openalex.org/W2153635508","https://openalex.org/W2163605009","https://openalex.org/W2165874743","https://openalex.org/W2168356304","https://openalex.org/W2799061466","https://openalex.org/W4244494905","https://openalex.org/W6628849183"],"related_works":["https://openalex.org/W3183560647","https://openalex.org/W2910555889","https://openalex.org/W154539075","https://openalex.org/W1160799","https://openalex.org/W2962761044","https://openalex.org/W4287685660","https://openalex.org/W4316015319","https://openalex.org/W2092873805","https://openalex.org/W2565656575","https://openalex.org/W4200301313"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNN)":[3],"are":[4,67],"now":[5],"the":[6,70,74,87,90,93,105,111],"state-of-the-art":[7],"for":[8,59],"many":[9],"image":[10,36,47],"and":[11,63],"object":[12],"recognition":[13,119],"tasks,":[14],"as":[15,38],"illustrated":[16],"by":[17],"their":[18,30],"performance":[19],"on":[20,69,116],"standard":[21,65],"benchmarks.":[22],"The":[23],"success":[24],"of":[25,54,113],"DNNs":[26],"is":[27,57],"attributed":[28],"to":[29,32,40,100],"ability":[31],"learn":[33],"rich":[34],"mid-level":[35],"representations,":[37],"opposed":[39],"hand-designed":[41],"low-level":[42],"features":[43,71,91],"used":[44,58],"in":[45,76],"other":[46],"analysis":[48],"methods.":[49],"Typically":[50],"a":[51,77,117],"large":[52],"dataset":[53],"unlabeled":[55],"images":[56,75,88],"unsupervised":[60],"feature":[61],"learning,":[62],"then":[64],"classifiers":[66,99],"trained":[68],"extracted":[72],"from":[73,92],"labeled":[78],"set.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"show":[84],"that":[85],"clustering":[86],"using":[89],"DNN":[94],"allows":[95],"more":[96],"accurate":[97],"per-cluster":[98],"be":[101],"learned,":[102],"which":[103],"improves":[104],"overall":[106],"classification":[107],"accuracy.":[108],"We":[109],"demonstrate":[110],"effectiveness":[112],"our":[114],"approach":[115],"scene":[118],"task.":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
