{“id”：“https://openalex.org/W2793112008“，”doi“：”https://doi.org/10.1016/j.asoc.2018.03.07“，”title“：“软组合从单个卷积神经网络学习的分类器集合用于场景分类”，”display_name“：”软组合从单一卷积神经网学习的分类器集成用于场景分类“，”publication_year“：2018，”publitation_date“：”2018-06-01“，”ids“：{”openalex“：”https://openalex.org/W2793112008“，”doi“：”https://doi.org/10.1016/j.asoc.2018.03.07“，”mag“：”2793112008“}，”language“：”en“，”primary_location“：{”is_oa“：false，”landing_page_url“：”https://doi.org/10.1016/j.asoc.2018.03.07“，”pdf_url“：空，”源“：{”id“：”https://openalex.org/S140556538“，”display_name“：”Applied soft computing“，”issn_l“：”1568-4946“，”isn“：[”1568-49“，”1872-9681“]，”is_oa“：false，”is_ in_doaj“：false，”host_organization“：”https://openalex.org/P4310320990“，”“host_organization_name”：“Elsevier BV”，“host_organization_lineage”：[“https://openalex.org/P4310320990“]，”host_organization_lineage_names“：[”Elsevier BV“]，“type”：“journal”}，“license”：null，“licence_id”：null，“version”：null，“is_accepted”：false，“is_published”：false}，”type“：”article“，”type_crossref“：“jornal-article”，“indexed_in”：[”crossref“]，pository_has_fulltext“：false}，”authorships“：[{”author_position“：”first“，”author“：{”id“：”https://openalex.org/A5024075471“，”display_name“：”宋白“，”兽人“：”https://orcid.org/0000-0002-7146-6970}，“机构”：[{“id”：https://openalex.org/I21193070“，”display_name“：”北京交通大学“，”ror“：”https://ror.org/01yj56c84“，”country_code“：”CN“，”type“：“教育”，”世系“：[”https://openalex.org/I21193070“]}]，”国家“：[”CN“]，”is_corresponding“：false，”raw_author_name“：”双白“，”raw关联字符串“：[“中国北京市海淀区商元村3号北京交通大学电子信息工程学院”]}，{“author_position”：“last”，“author”：{“id”：“https://openalex.org/A5082604086“，”display_name“：”华东堂“，”orcid“：null}，”机构“：[{”id“：”https://openalex.org/I21193070“，”display_name“：”北京交通大学“，”ror“：”https://ror.org/01yj56c84“，”country_code“：”CN“，”type“：“教育”，”世系“：[”https://openalex.org/I21193070“]}]，”国家“：[”CN“]，”is_corresponding“：false，”raw_author_name“：”华东堂“，”raw关联字符串“：[“中国北京市海淀区商元村3号北京交通大学电子信息工程学院”]}]“countries_distict_count”：1，”institutions_disticent_count“：1，“corresponding_author_ids”：[]，“corresponding_institution_ids“：[]，“apc_list”：{“value”：3350，“currency”：“USD”，“value_USD”：33500，“provenance”：“doaj”}，“apc _ paid”：{“value“：3350”，“curency”：“US”，“value _ USD”:3350，“province”：“doaj”{，“has_fulltext_origin”：”ngrams“，”cited_by_count“：9，”citted_by_percentile_year“：{“min”：86，“max”：87}，“biblio”：{“volume”：“67”，“issue”：nullfirst_page“：”183“，”last_page“：”196“}，”is_retracted“：false，”is_paratext“：fase，”primary_topic“：{”id“：”https://openalex.org/T10627“，”“display_name”：“图像特征检索与识别技术”，“score”：0.9995，“subfield”：{“id”：“https://openalex.org/subfields/1707“，”display_name“：”计算机视觉和模式识别“}，”字段“：{”id“：”https://openalex.org/fields/17“，”display_name“：”Computer Science“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“}}，”主题“：[{”id“：”https://openalex.org/T10627“，”display_name“：”图像特征检索和识别技术“，”score“：0.9995，”subfield“：｛”id“：”https://openalex.org/subfields/1707“，”display_name“：”计算机视觉和模式识别“}，”字段“：{”id“：”https://openalex.org/fields/17“，”display_name“：”Computer Science“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“}}，{”id“：”https://openalex.org/T10036“，”display_name“：”计算机视觉和图像识别的深度学习“，”score“：0.9989，”subfield“：｛”id“：”https://openalex.org/subfields/1707“，”display_name“：”计算机视觉和模式识别“}，”字段“：{”id“：”https://openalex.org/fields/17“，”display_name“：”Computer Science“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“}}，{”id“：”https://openalex.org/T10331“，”display_name“：”视觉对象跟踪和人员重新识别“，”score“：0.9986，”subfield“：{”id“：”https://openalex.org/subfields/1707“，”display_name“：”计算机视觉和模式识别“}，”字段“：{”id“：”https://openalex.org/fields/17“，”display_name“：”Computer Science“}，”domain“：{”id“：”https://openalex.org/domains/3“，”display_name“：”物理科学“}}]，”关键词“：[{”id“：”https://openalex.org/keywords/feature-matching“，”display_name“：”功能匹配“，”score“：0.559628}，{”id“：”https://openalex.org/keywords/scene-classification网站“，”display_name“：”场景分类“，”score“：0.550765}，{”id“：”https://openalex.org/keywords/foreground-segration网站“，”display_name“：”前景分割“，”score“：0.532918}，{”id“：”https://openalex.org/keywords/image-re认知“，”display_name“：”图像识别“，”score“：0.521642}，{”id“：”https://openalex.org/keywords/image-classification网站“，”display_name“：”图像分类“，”score“：0.517889}]，”concepts“：[{”id“：”https://openalex.org/C94124525，“wikidata”：https://www.wikidata.org/wiki/Q912550“，”display_name“：”Categorization“，”level“：2，”score“：0.83079535}，{”id“：”https://openalex.org/C41008148，“wikidata”：https://www.wikidata.org/wiki/Q21198“，”display_name“：”计算机科学“，”level“：0，”score“：0.79234064}，{”id“：”https://openalex.org/C81363708，“wikidata”：https://www.wikidata.org/wiki/Q17084460“，”display_name“：”卷积神经网络“，”level“：2，”score“：0.77749527}，{”id“：”https://openalex.org/C154945302，“wikidata”：https://www.wikidata.org/wiki/Q11660“，”display_name“：”人工智能“，”level“：1，”score“：0.7284258}，{”id“：”https://openalex.org/C153180895，“wikidata”：https://www.wikidata.org/wiki/Q7148389“，”display_name“：”模式识别（心理学）“，”level“：2，”score“：0.5843094}，{”id“：”https://openalex.org/C119857082，“wikidata”：https://www.wikidata.org/wiki/Q2539“，”display_name“：”机器学习“，”level“：1，”score“：0.53908014}，{”id“：”https://openalex.org/C50644808，“wikidata”：https://www.wikidata.org/wiki/Q192776“，”display_name“：”人工神经网络“，”level“：2，”score“：0.43805498}，{”id“：”https://openalex.org/C45942800，“wikidata”：https://www.wikidata.org/wiki/Q245652“，”display_name“：”Ensemble learning“，”level“：2，”score“：0.42487708}]，”mesh“：[]，”locations_count“：1，”location“：[{”is_oa“：false，”landing_page_url“：”https://doi.org/10.1016/j.asoc.2018.03.07“，”pdf_url“：空，”源“：{”id“：”https://openalex.org/S140556538“，”display_name“：”Applied soft computing“，”issn_l“：”1568-4946“，”isn“：[”1568-49“，”1872-9681“]，”is_oa“：false，”is_ in_doaj“：false，”host_organization“：”https://openalex.org/P4310320990“，”“host_organization_name”：“Elsevier BV”，“host_organization_lineage”：[“https://openalex.org/P4310320990“]，”host_organization_lineage_names“：[”Elsevier BV“]，“type”：“journal”}，“license”：null，“licence_id”：null，“version”：null，“is_accepted”：false，“is_published”：false}]，“best_oa_location”：nul，“sustainable_development_goals”：[{“id”：“https://metadata.un.org/sdg/10“，”score“：0.73，”display_name“：”减少不平等“}]，”grants“：[{”funder“：”https://openalex.org/F4320321001“，”funder_display_name“：”国家自然科学基金“，”award_id“：”61602027“}]，”datasets“：[]，”versions“：[]，”referenced_works_count“：80，”referrenced_works“：[”https://openalex.org/W1495809654","https://openalex.org/W1507506748","https://openalex.org/W1524680991","https://openalex.org/W1549723804","https://openalex.org/W1566135517","https://openalex.org/W1590510366","https://openalex.org/W1594098193","https://openalex.org/W1649633876","https://openalex.org/W1899185266","https://openalex.org/W1924160326","https://openalex.org/W1966385142","https://openalex.org/W1968670561","https://openalex.org/W1990771923","https://openalex.org/W2003620172","https://openalex.org/W2008416470","https://openalex.org/W2012592962","https://openalex.org/W2017814585","https://openalex.org/W2019778169","https://openalex.org/W2029694740","https://openalex.org/W2033832873","https://openalex.org/W2048852482","https://openalex.org/W2062118960","https://openalex.org/W2064341520网址","https://openalex.org/W2087164515","https://openalex.org/W2097018403","https://openalex.org/W2097117768","https://openalex.org/W2099528205","https://openalex.org/W2099580609","https://openalex.org/W2102113734","https://openalex.org/W2108598243","https://openalex.org/W2113606819","https://openalex.org/W2113855951","https://openalex.org/W2115628259","https://openalex.org/W2115629999","https://openalex.org/W2117539524","https://openalex.org/W2119853387","https://openalex.org/W2128073546","https://openalex.org/W2134670479","https://openalex.org/W2145406111","https://openalex.org/W2147800946","https://openalex.org/W2150757437","https://openalex.org/W2151103935","https://openalex.org/W2152161678","https://openalex.org/W2158275940","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2163922914","https://openalex.org/W2167055186","https://openalex.org/W2168847089","https://openalex.org/W2191616647","https://openalex.org/W2288122362","https://openalex.org/W2289772031","https://openalex.org/W2310335681","https://openalex.org/W2327501763","https://openalex.org/W2342084501","https://openalex.org/W2485261912","https://openalex.org/W2519818067","https://openalex.org/W2533302542","https://openalex.org/W2584749081","https://openalex.org/W2599925391","https://openalex.org/W2610903531","https://openalex.org/W2731165298","https://openalex.org/W2741748913","https://openalex.org/W2919115771","https://openalex.org/W2949602684","https://openalex.org/W2949608135","https://openalex.org/W2950094539","https://openalex.org/W2952632681","https://openalex.org/W2962835968","https://openalex.org/W2962992847","https://openalex.org/W3104752576","https://openalex.org/W4212883601","https://openalex.org/W4231109964","https://openalex.org/W4244531973","https://openalex.org/W4294375521","https://openalex.org/W4299518610","https://openalex.org/W4300954432","https://openalex.org/W4302283059","https://openalex.org/W46831063“]，”related_works“：[”https://openalex.org/W4376643315","https://openalex.org/W4375951447","https://openalex.org/W4324137541","https://openalex.org/W4285741730","https://openalex.org/W4285046548","https://openalex.org/W4210302090","https://openalex.org/W3111529524","https://openalex.org/W3092276832","https://openalex.org/W2900445707","https://openalex.org/W1191482210“]，”ngrams_url“：”https://api.openalex.org/works/W2793112008/ngrams网站“，”“abstract_inverted_index”：{“abstract”：[0]，“In”：[3]，“this”：[4158]，“paper”：[5]，“we”：[6,30,85165]，“propose”：[7]，“to”：[8,38,52,76,93115170187192196242]，“train”：[9,47,86]，“an”：[10,99198]，“eless”：[11]，“of”：[12,35,83,89,97117133141174]，“分类器”：[13,25,60]，92120143180191202]，“来自”：[14,44130]，“a”：[15,36,48,62,87109134]，“单个“：[16]，”卷积“：[17]，”神经“：[18]，”网络“：[19]，”（CNN）“：[20]，”和“：[21,46209223237]，”柔和“：[22]，”组合“：[23,58]，”这些“：[24,59147]，”用于“：[26121153177181234]，”场景“：[27154221235]，”分类。“：[28155]，”具体来说，“：[29]，”探索“：[31]，”特征“：[32,69,95103118124161167178189200229]，”层次“：[33]，”结构“：[34]，”CNN“：[37135]，”提取“：[39]，”多重“：[40]，”类型“：[41,82]，”特性“：[43128148]，”图像“：[45]，”多类“：[49105119179190201]，”分类器“：[50]，”对应“：[51104]，”每个“：[53116]，”类型“：[54]，”特征。引入了“：[56]，“To”：[57156]，“effectively”，：[61]，“soft”：[63162]，“combination”：[64163]，“strategy”：[65164]，“is”：[66232]。“：[67]，”考虑“：[68]，”事实“：[70]，”那“：[71108228]，”不同“：[72,81131151]，”图像“：[73]，”可以“：[74]，”需要“：[75]，”是“：[77113]，”区分“：[78]，”由“：[79101205]，”使用“：[80102206]，”特征“：[84]，”集合“：[88173]，”辅助“：[90]，”二进制类“：[91]，”估计“：[94]，“质量”：[96]，“分类”：[98]，“图像”：[100]，“分类器，“：[106]，”so“：[107]，”动态“：[110208]，”权重“：[111]，”can“：[112238]，”assigned“：[114]，”组合。“：[122182]，“开”：[123]，“其他”：[125]，“手”：[126]，“因为”：[127]，“提取”：[129]，“层”：[132]，“不同”：[136]，“大体上”：[137]，“in”：[138160]，“他们的”：[139]，“级别”：[140]，“抽象”：[142]，“训练”：[144]，“基于”：[145]，“根据”：[146215]，“有”：[149]，“相当”：[150]，“能力”“：[152]，”地址“：[157]，”问题“：[159]，”采纳“：[166]，”遗传“：[168]，“算法”：[169]，“学习”：[171]，“另一个”：[172]，“静态”：[175184210]，“权重”：[176185]，“The”：[183]，“are”：[186203]，“adapt”：[188]，“给定”：[193]，“数据集。”：[194]，“Finally，”：[195]，“categories”：[197]，“image，”：%199]，“combined”：[204]，“both”：[207]，“weights。”：[211]，“We”：[212]，“行为”：[213]，“实验”：[214]，“两个”：[216]，“挑战”：[217]，“基准”：[218]，“数据集”：[219]，“MIT-indoor”：[220]，“67”：[222]，“SUN397.”：[224]，“实验”：[225]，“结果”：[226241]，“显示”：[227]，“建议”：[230]，“方法”：[231]，“有效”：[233]，“分类”：[236]，“给出”：[239]，“优秀”：[240]，“最先进”：[243]，“途径”：[244]}，“cited_by_api_url”：“https://api.openalex.org/works？filter=引用：W2793112008“，”counts_by_year“：[{”年“：2024，”cited_by_count“：2}，{”年份“：2023，”cited_by_count”：1}，}”年”：2022，“cited_by_counts”：1{，“年份”：2021，“cited_by_count”：1}，“年”：2020，“citecd_by-count”:1}，“updated_date”：“2024-05-14T18:46:01.065470”，“创建日期”：“2018-03-29”}