{"id":"https://openalex.org/W2790640163","doi":"https://doi.org/10.1109/icip.2017.8296400","title":"Making the torch lighter: Areinforced active sampling framework for image classification","display_name":"Making the torch lighter: Areinforced active sampling framework for image classification","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2790640163","doi":"https://doi.org/10.1109/icip.2017.8296400","mag":"2790640163"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8296400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014911461","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0002-5926-3548"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045832851","display_name":"Zhipeng Ye","orcid":"https://orcid.org/0009-0008-7701-6656"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Ye","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100873220","display_name":"Xianglong Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Tang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015389773","display_name":"Wei Zhao","orcid":"https://orcid.org/0000-0003-0309-325X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR. China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"845","last_page":"849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","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/T12072","display_name":"Machine Learning and Algorithms","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9965000152587891,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9965000152587891,"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/metric","display_name":"Metric (unit)","score":0.68815678358078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6801267862319946},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5992790460586548},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5953264236450195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5755264759063721},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5115219354629517},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5097302794456482},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.45483750104904175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4286857843399048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39256125688552856},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35795363783836365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2478419840335846},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09368434548377991}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.68815678358078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801267862319946},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5992790460586548},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5953264236450195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5755264759063721},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5115219354629517},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5097302794456482},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.45483750104904175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4286857843399048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39256125688552856},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35795363783836365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2478419840335846},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09368434548377991},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8296400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8296400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W71169749","https://openalex.org/W1997880753","https://openalex.org/W1998376807","https://openalex.org/W2031489346","https://openalex.org/W2081839214","https://openalex.org/W2096258902","https://openalex.org/W2098742124","https://openalex.org/W2099930951","https://openalex.org/W2127126629","https://openalex.org/W2133993682","https://openalex.org/W2138068405","https://openalex.org/W2151103935","https://openalex.org/W2163345210","https://openalex.org/W2166049352","https://openalex.org/W2171671120","https://openalex.org/W2294675055","https://openalex.org/W6675004598"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2042102171"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"aim":[4],"to":[5,56,70,88],"construct":[6,71],"a":[7,72],"more":[8],"reasonable":[9],"and":[10,35,60,74,90],"effective":[11],"active":[12,26],"sampling":[13,19,27],"model,":[14],"named":[15],"as":[16],"reinforcement":[17],"uncertainty":[18],"with":[20,24,111],"bag-of-visual-words":[21,50],"(RUSB).":[22],"Compared":[23],"traditional":[25],"strategy":[28],"based":[29],"on":[30,121],"uncertainty,":[31],"both":[32],"certainty":[33,44],"metric":[34,45],"sample":[36],"post-processing":[37,62,96],"are":[38],"introduced":[39],"for":[40,78],"better":[41],"performance.":[42],"The":[43,82],"is":[46,64,86,109],"measured":[47],"by":[48,66],"the":[49,61,67,79,92,95,99,104,107,126,129],"(BoVW)":[51],"classification":[52],"model":[53],"in":[54],"order":[55],"entirely":[57],"evaluate":[58],"samples,":[59],"module":[63,97],"driven":[65],"Q-learning":[68],"method":[69],"compact":[73],"efficient":[75],"training":[76],"set":[77,117],"BoVW":[80,85],"module.":[81],"performance":[83],"of":[84,94,101,106,115,128],"used":[87],"initialize":[89],"determine":[91],"status":[93],"during":[98],"process":[100],"iteration.":[102],"Meanwhile,":[103],"weight":[105],"measurement":[108],"associated":[110],"each":[112],"iteration":[113],"instead":[114],"being":[116],"manually.":[118],"Experimental":[119],"results":[120],"real":[122],"world":[123],"datasets":[124],"show":[125],"effectiveness":[127],"proposed":[130],"framework.":[131]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
