{"id":"https://openalex.org/W2293335857","doi":"https://doi.org/10.1109/icip.2015.7350932","title":"Image classification using RBM to encode local descriptors with group sparse learning","display_name":"Image classification using RBM to encode local descriptors with group sparse learning","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293335857","doi":"https://doi.org/10.1109/icip.2015.7350932","mag":"2293335857"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7350932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5084797829","display_name":"Jinzhuo Wang","orcid":"https://orcid.org/0000-0002-9464-4426"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinzhuo Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017052768","display_name":"Wenmin Wang","orcid":"https://orcid.org/0000-0003-2664-4413"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenmin Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018478553","display_name":"Wen Gao","orcid":"https://orcid.org/0000-0002-8070-802X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084797829"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76057754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"912","last_page":"916"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9975000023841858,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.9017769694328308},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7973798513412476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7031289935112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008731961250305},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6384375691413879},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5819971561431885},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.5642126798629761},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.535822868347168},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5303581357002258},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5173365473747253},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4776664674282074},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46811622381210327},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4598269462585449},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41809260845184326},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.395906925201416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39263153076171875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3738213777542114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1560385525226593}],"concepts":[{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.9017769694328308},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7973798513412476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7031289935112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008731961250305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6384375691413879},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5819971561431885},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.5642126798629761},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.535822868347168},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5303581357002258},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5173365473747253},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4776664674282074},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46811622381210327},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4598269462585449},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41809260845184326},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.395906925201416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39263153076171875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3738213777542114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1560385525226593},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7350932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7350932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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":45,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1576445103","https://openalex.org/W1590510366","https://openalex.org/W1969600701","https://openalex.org/W2002273623","https://openalex.org/W2013015287","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2062118960","https://openalex.org/W2082855665","https://openalex.org/W2084716923","https://openalex.org/W2097018403","https://openalex.org/W2099528205","https://openalex.org/W2104371740","https://openalex.org/W2113855951","https://openalex.org/W2123745357","https://openalex.org/W2130325614","https://openalex.org/W2133257461","https://openalex.org/W2134670479","https://openalex.org/W2136922672","https://openalex.org/W2137313500","https://openalex.org/W2144937830","https://openalex.org/W2147238549","https://openalex.org/W2151103935","https://openalex.org/W2151800797","https://openalex.org/W2152161678","https://openalex.org/W2157639439","https://openalex.org/W2161969291","https://openalex.org/W2162248889","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2169177311","https://openalex.org/W2171157299","https://openalex.org/W6601785968","https://openalex.org/W6634343353","https://openalex.org/W6678853083","https://openalex.org/W6679718588","https://openalex.org/W6679792166","https://openalex.org/W6682139812","https://openalex.org/W6683265229","https://openalex.org/W6683411478","https://openalex.org/W6684191040","https://openalex.org/W6684872329","https://openalex.org/W6685378274"],"related_works":["https://openalex.org/W4283272532","https://openalex.org/W2952018105","https://openalex.org/W2916681395","https://openalex.org/W2119341610","https://openalex.org/W2556473569","https://openalex.org/W2193475944","https://openalex.org/W4302433642","https://openalex.org/W2529583158","https://openalex.org/W2551541394","https://openalex.org/W2892911634"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"to":[3,8,20,34,37,43,63,70,79,114,117],"employ":[4],"deep":[5,18],"learning":[6,89],"model":[7,124],"encode":[9,80],"local":[10,61,82],"descriptors":[11,62,83],"for":[12,127],"image":[13],"classification.":[14],"Previous":[15],"works":[16],"using":[17],"architectures":[19],"obtain":[21],"higher":[22],"representations":[23],"are":[24],"often":[25],"operated":[26],"from":[27,60],"pixel":[28],"level,":[29],"which":[30,121],"lack":[31],"the":[32,53,93,101,138],"power":[33],"be":[35],"generalized":[36],"large-size":[38],"and":[39,46,134],"complex":[40],"images":[41],"due":[42],"computational":[44],"burdens":[45],"internal":[47],"essence":[48],"capture.":[49],"Our":[50],"method":[51],"slips":[52],"leash":[54],"of":[55,74,96,140],"this":[56],"limitation":[57],"by":[58,92],"starting":[59],"leverage":[64],"more":[65,125],"semantical":[66],"inputs.":[67],"We":[68],"investigate":[69],"use":[71,110],"two":[72],"layers":[73],"Restricted":[75],"Boltzmann":[76],"Machines":[77],"(RBMs)":[78],"different":[81],"with":[84],"a":[85],"novel":[86],"group":[87],"sparse":[88,97],"(GSL)":[90],"inspired":[91],"recent":[94],"success":[95],"coding.":[98],"Besides,":[99],"unlike":[100],"most":[102],"existing":[103],"pure":[104],"unsupervised":[105],"feature":[106],"coding":[107],"strategies,":[108],"we":[109],"another":[111],"RBM":[112],"corresponding":[113],"semantic":[115],"labels":[116],"perform":[118],"supervised":[119],"fine-tuning":[120],"makes":[122],"our":[123,141],"suitable":[126],"classification":[128],"task.":[129],"Experimental":[130],"results":[131],"on":[132],"Caltech-256":[133],"Indoor-67":[135],"datasets":[136],"demonstrate":[137],"effectiveness":[139],"method.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}