动态···知子···建与··

项目来源

国家···学基···SF··

项目主持人

张剑·

项目受资助机构

天津···学

立项年度

2018

立项时间

未公开

项目编号

61···16·

研究期限

未知 / 未知

项目级别

国家·

受资助金额

64.00万元

学科

信息··-人工··-机器···机器··

学科代码

F-F06-F0604

基金类别

面上··

关键词

子空···;图···;主···;语···;零···习;

参与者

刘盛···华;···;刘···王其···佳鑫···颖;···;贵···

参与机构

浙江···学;

项目标书摘要:动态···别层···在人···过程···要作···样,···模拟···知过···动态···别层···并构···“视···子空···够极···许多···视觉···性能···目从···知角···,结···间理···建动···觉认···间”···主要···容包···鉴稀···、子···类和···多样···等方···究大···值语···的表···,及···预测···属性···;通···属性···体,···参数···模型···采用···率分···,重···依赖···研究···于距···和连···的有···次化···型,···态层···别结···创造···用语···概率···表示···动态···认知···”。···应用···视觉···空间···对象···发现···性;···立已···和未···之间···义属···率分···系,···间的···式和···式的···有效···样本···能。

Dy···ic···su···ca···or···ie···ch···la···a ···al···le···ri···hu··· c···it···.I···s ···o ··· t···h ···t ··· d···mi···is··· c···go···hi···rc···si···at···by···mp···r ··· i···ov···he···rf···an···fo···ot···f ···ho···in···e ···ld··· c···ut···vi···n.···th···pr···ct···e ···l ···to···ns···ct···e“···ua···og···io···ub···ac···an···on···ue···y ··· d···mi···at···ry···er···hy··· c···in···he···na··· c···it··· a···su···pa···th···y.···ac···ve···is···al··· w··· d··· s···es··· r···ar···s ···ch···ll··· d···il···in···e ···lo···g.···st···we···ll···op··· a···ve···ea···al···re···se···ti···of···ma···c ···ri···es···d ··· m···l ···ch···n ···ul···eo···y ···rn···d ···di···mu···pl···tt···ut···by···pl···ng···ar···re···se···ti···su···pa···cl···er··· a···mu···-l···l ···rn···.S···nd···we···ll···op··· a···ve···is···ce···pe···nt···pe···se···ie···ch···l ···ic···de···as···on···e ···ec···es···pt··· b···mp···in···ea···al··· s···nt···at···bu···no···ra···ri···ro···il··· m···l,···ti···us···ob···li···di···ib···on···d ···on···ur···on··· d···nd··· r···ti···hi···hr···h ···s ···el···pi···od···th···yn···c ···eg··· h···ar··· c···be···ta···d,··· a···he···me···me··· w··· c···tr··· t···pr···bi···y ···-s···e ···th···em···ic···tr···te···pa···ac···di···to···te···y ···ra···y,··· f··· a···ve···ep···en···io···f ···am···vi···l ···ni···n ···-s···e”···h ···pe···to···e ···eg··· h···ar···.F···ll···as···on···e ···am···vi···l ···ni···n ···-s···e”···e ···ur··· o···bj··· r···gn···on···d ···co···y ··· a··· b···mp···ed···d ··· r···ti···hi···f ···ba···it···is···bu···n ···se···ti···tt···ut···am··· s··· c···go···s ··· u···en···te···ie···an··· f···ed···co···ng···e ···ba···it···ub···ac···as···on···ic···e ···l ···ea··· h···to···tr··· t···sh···d ···te···an···is···ct··· p···er···mo···ca···or···,a···im···ve···fi···nt···th···er···ma··· o···er···ho···ea···ng·

项目受资助省

天津·

  • 排序方式:
  • 6
  • /
  • 1.Al···-S···: ···ur··· a···Li···Co···ni···io···ol···or···ve···AM···r ···ou···-C···tr···ed···lt···ge··

    • 关键词:
    • Collaborative SLAM; mobile agent; lite-communications; CollaborativeSLAM; mobile agent; lite-communications
    • Li···Ji···ng···en···ai···Li···Ru···Ch···, ···Zh···, ···nh···Ch··· S···gy···;Z···g,···ux···g;···ud···, ···sh
    • 《IE···JO···AL··· S···CT···AR··· I···OM···IC···ON·》
    • 2025年
    • 43卷
    • 12期
    • 期刊

    Mu···-a···t ···la···at··· s···lt···ou···oc···za···n ··· m···in···Ma···LA···fa···it···s ···ua···oc···za···n ···ng···lt···ge···an···ap···g ···un···wn···vi···me···. ···ev··· M···SL···fa··· t···ma···pr···ic···ch···en··· i···es···ce···ns···in···si···ti···: ···vy···mm···ca···n ···d ··· c···li··· a···g ···ti···ur···ma··· T···dd···s ···se···su··· w···ro···e ···ce···AM···n ···ur··· a···li···co···ni···io···li···-s···er···ll···ra···e ···M ···te···re···in···om···ic···on···ad···il···cc···cy···ar···ee···Sp···fi···ly···eg···in···ig···om···ic···on···ma··· w···pt···ze···mm···ca···n ···d ···co···es···g ···fr··· d··· a···sh···ng···ly···y ··· i···rm···on···st··· o···ul···ap···fo···ti··· F···in···si···nc···mo···mu···-m···, ···co···ne···ec···c ···dl···dj···me··· (··· a···an···ap···e ···at··· f···ac···e ··· o···mi···io···o ···an···th···on···te··· o···he···ob···ma···A ··· o···xp···me··· d···ns···te···he···pe···r ···ur··· a···re···ed···mm···ca···n ···d ···th···ro···ed···ic···LA···n ··· E···C ···as···an···n ···ti···er···gm···ed···al··· (··· e···ri···ts···nd···ed··· o···la···hi···ig···ng···s ···ec···en··· i···es···ce···ns···in···ca···. ···pl···to···en···ur···ou···od···ht···:/···th···co···ia···gL···SL···Al···-S···) ···en···ra···fu···er···se···h ··· c···ab···ti···in···is···ea·

    ...
  • 2.Ca···de···ta···Sp··· a···Co···as···e ···rn··· f···Cr···-D···in···w-···t ···me···ti··

    • 关键词:
    • Contrastive learning; Semantics; Visualization; Training; Semanticsegmentation; Prototypes; Biomedical imaging; Adaptation models;Vectors; Robustness; Computer vision; contrastive learning; cross-domainlearning; few-shot segmentation; neural networks
    • Xi··· F···;Z···g,···an···;H··· P···ua···en···he···on···ha··· H···ia··
    • 《IE···TR···AC···NS··· I···ST···L ···OR···IC·》
    • 2025年
    • 期刊

    Cu···nt···os···om··· f···sh···se···ti···eg···ta···n ···-F··· f···s ···ti··· c···le···s,···cl···ng···co···st··· f···ur···ap···g ···ng···ma··· a···in···fi···nt···il···ti···of···w-···el···fo···ti···an···ac···ou···in···ma···n ···m ··· s···ce···ma··· T···dd···s ···se···su··· t··· a···cl···ro···es···no··· c···ad···ea···e ···an···en···nd···nt···ti···le···in···ra···or···o ···ro···th···en···li···io···ap···li···of···-F··· W···in···is···am···rk···e ···st···tr···ce···ca···de···at··· e···nc···nt···du···to···ns···ct···st···ti···fe···re···pr···nt···on···en···ci···th···od···s ···ns···ab···ty···ro···do···ns···y ···ec···el···nt···at··· m···il···l ···tu···in···ma···n ···m ···po···im···s,···is···du···st···gt···s ··· r···es···at··· c···bi···y ···qu··· i···es···ec···, ···em···y ···tr···iv···ea···ng··· f··· p···ti···an···eg···ve···mp···pa··· f···th···or···ou···an···ac···ou··· c···ur··· r··· c···el···on···et···n ···m.···na···, ··· i···at··· p···ot··· e···nc···nt···du···we···op··· g···ua··· r···ne···he···rr···on···ce···tw··· t···su···rt···ag···nd···e ···ry···ag···hr···h ···ra···n,···ki···fu···us···f ··· e···dd···su···vi···y ···or···io···n ··· l···te···up···t ···pl··· E···ri···ta···es···s ···on···at···ha···he···op···d ···ho···ut···fo··· e···ti···ap···ac··· o···ul···le···nc···rk···ta···s,···hi···ng··· t··· 9··· i···ov···nt···er···at···f-···-a···me···ds·

    ...
  • 3.Hy···sp···ra···ma···cl···if···ti···us··· a···si···l ···an··· f···ur···us··· h···rg···h ···ra···et···k

    • 关键词:
    • Hyperspectral image classification (HSIC); hypergraph learning;hypergraph neural network; residual hypergraph convolution; featurefusion
    • Ya··· Y···on···i,···ny···;W···, ···gt···Fe··· Y···;Y··· L···Zh···, ···da·
    • 《RE···E ···SI···LE···RS》
    • 2024年
    • 15卷
    • 3期
    • 期刊

    Hy···Gr··· N···al···tw··· (···N)···s ···en··· e···ge···s ···ro···in···pp···ch···r ···er···ct··· i···e ···ss···ca···n ···IC···re···ci···g ···te···-t···ar···er···ma··· w··· p···rf···re···se···ti···ca···il···es···ow···r,···is···g ···N-···ed···th··· h··· l···te···bi···y ··· h···rg···h ···uc···e ···lo···ti··· l···in···o ···er···t ···ss···ca···n ···ul··· I···hi···ap··· w···ro···e ···ra···or···al··· t···re···ua···nh···ed···pe···ap···eu··· N···or···Re···NN···o ···co··· t···po···ti···st···tu··· f···ur···in···pe···ec···l ···ge···SI···at···ur··· d··· n···al···tw···s.···ec···ca···, ···HG···fi··· g···ra··· h···re···s ···m ···ti···sp···ra···ea···es··· c···tr··· a···pe···ap···ep···en···g ···ed···at···-s···tr···fe···re···la···ns···s ···HS···Th··· t···hi···r-···er···la···ns··· a···g ···ed···da···ea···es··· o···mi··· b··· r···du···en···ce···yp···ra···co···lu···n ···rn··· p···es···to···rc···en···he···NN···la··· o···-s···th··· i···e.···pe···en···ov···th··· p···la···yp···pe···al···ta···s ···w ···t ··· p···os···cl···if···ti···me···d ···ld···et··· p···or···ce···an···he···od··· o···he···su···an···um···ca···om···is···

    ...
  • 4.DS···as···Tr···ic···rg···De···ti···fo···nt···ig··· T···sp···at···

    • 关键词:
    • CNN optimization; vehicle and pedestrian detection; multicoreoptimization; model quantization; DSP
    • Zh···, ···nh···Wa··· R···n;···, ···u;···, ···gy···Li···o;···n,···en···ng
    • 《IE···TR···AC···NS··· I···LL···NT···AN···RT···ON···ST···》
    • 2022年
    • 期刊

    In···ne···f ···ng···Io···ba··· i···ll···nt···an···rt···on··· a···ac···g ···e ··· m··· a···nt···. ···a ··· c···on··· o···nt···ig··· t···sp···at···, ···ff···vi··· m···to···g ···ve···im···ta··· i···hi···ve···le···d ···es···an···te···on··· t···ro···is···cr···al···sk···lt···gh···hi··· a···pe···tr··· d···ct··· t···ug···ee···ea···ng···L)···y ···ie···hi···ac···ac···it···nd···o ···ui···hi···co···ti···re···rc··· w···h ···de···it···se··· I···de···es···s ···im···ta···cl··· o···oT···vi···, ···it···si···l ···ce···r ···P)···s ··· c···ac···is···s ···lo···ne··· c···um···on···ma···si··· a···st···g ···fo···nc···wh··· h···be···wi···y ···d ···in···li···t ···ns···ta···n.··· o···r ···us···L ···DS···or···cu···e ···ic···an···ed···ri···de···ti··· w···ir···pr···se···se···s ···ge···al···ct··· t···pt···ze···e ···ec···et···io···on···ut···al···ur···ne···rk···NN···od··· i···ud··· c···ol···on···ye···pt···za···n,···ch···pt···za···n,···mp···r ···im···ti··· i···in···s ···im···ti···an···ir··· m···ry···ce···(D··· a···le···io···an···he··· p···ll···sc···e ···ex···d ··· m···l ···ru···n ···ti···e,···d ···th···qu···iz···he···pl···nt···on··· t···mo···. ···ev···at···t ···UA···TR···an···IT···da···et···Ex···im···al···su··· s··· t··· o···me···d ···ie··· a···st···sp··· t··· r···in···he···me···N ···el··· a···in···ea···es···p ···, ···h ···y ···6%···cu···y ···s.

    ...
  • 5.多层···机制···序列···中国···语识···译

    • 关键词:
    • 连续手语识别和翻译;视频理解;序列模型;注意力机制融合;卷积神经网络
    • 周乐···剑华···甜;···
    • 《计算···》
    • 2022年
    • 9期
    • 期刊

    使计···够理···者的···直是···具挑···任务···需要···语视···间和···息,···要考···语法···性。···手语···务中···词汇···动作···致的···而在···语翻···中,···自然···

    ...
  • 6.Du···at···ti···gr···la···y ···wo···fo···eh···e ···id···if···ti··

    • 关键词:
    • Vehicles;Convolutional neural networks;Coarse-grained;Dual-branch;Fine grained;Granularity;Part-positioning;Re identifications;Region detection;Regions of interest;Self-attention;Vehicle re-identification
    • Zh···, ···nh···Ch··· J···bo···o,···ew···Li···Ru···Bi··· L···ie···en···he···on·
    • 《Ne···l ···pu···g ··· A···ic···on·》
    • 2022年
    • 34卷
    • 4期
    • 期刊

    ···py···02···Th···ut···(s···un··· e···us··· l···nc···o ···in···-V···ag···nd···Lt··· p··· o···pr···er···tu···

    ...
  • 7.Ro···t ···ua···id···Si···ta···us···ca···at··· a···Ma···ng···st···fo···AV

    • 关键词:
    • Robotics;Frequency estimation;Vegetation;Antennas;Remote sensing;Textures;Mapping;Iterative methods;Optical radar;Unmanned aerial vehicles (UAV);Dynamic movements;Iterative closest point algorithm;Localization and mappings;Odometry algorithms;Self localization;Simultaneous localization and mapping;Sparse point cloud;Texture information
    • Qi··· J···Ch··· K···i;···n,···ny···;Y···, ···ho···Zh···, ···nh···Ch··· S···gy···
    • 《IE···Ge···ie··· a···Re···e ···si···Le···rs》
    • 2022年
    • 19卷
    • 期刊

    <d···da···la···ag···en···da···ev···el···ab···ac···Ob···ni···3-···at···y ···AR···om···ma···d ···ia···eh···es···AV···is···ta···or···e ···ld··· r···te···ns···; ···ev··· t···hi···y ···am···mo···en···f ···s ··· n···ow···ew···nt··· L···R ···e ···re···ch···en···to···e ···f-···al···ti···fo···AV···as···on···le···LI··· s···or···o ···s ···, ···pr···se···ro···t ···ul···eo···lo···iz···on···d ···pi···(S···) ···te···wh··· c···in···th···ma···da···ob···ne···y ···io···en··· a···po··· c···ds···ta···d ···LI···. ···th···ro···en···f ··· p···os···sy···m,···e ···e ···bl···in···nd···an···ea···es···e ···ra···d ···m ···nt···ou···th···gh···us···in···Th···th···el···ve···se···tw··· t···co···cu···e ···me···s ···pu··· b···he···as···qu···s ···ra···e ···se···po··· a···ri···. ···er···d,···no··· d···ct···om···y ···or···m ···de···op···by···mb···ng···e ···ge···am···an···pa··· p···t ···ud···wh··· t···re···iv···os···s ···d ···a ···or···n ··· b···-e··· t···po···es···at··· i···ef···d ··· t···3-···ap···th···xt··· i···rm···on··· b···t ···a ···er···eq···cy···xt···iv···xp···me··· s··· t··· o···me···d ··· a···ev···ob··· a···hi···y ···ci···lo···iz···on···d ···pi···fo···AV···br···/d··· &···y;···04···12···EE·

    ...
  • 8.TX···M:···on···la···em···ic···AM···gh··· C···le···it···la··· T··· F···ur··

    • To··· Q··· ···iu···ia···g ···; ···n,···e ···; ···ng···ia···a ···
    • 《20···IE···25···In···na···na···on···en···on···mp···r ···po···d ···pe···iv···or···n ···ig···CS··· 2···》
    • 2022年
    • 会议

    We···op··· a···w ···oc···r ···an··· s···lt···ou···oc···za···n ··· m···in···LA···ys··· t··· t···tl···ou···s ···na···ex···ea···es···e ···te···re··· t··· f···ur···as···pl··· w··· r··· t···ur···nf···at··· a···se···ti···nf···at···,a···mo···ac···at···am··· p··· e···ma···n ··· b···bt···ed··· t···tl···ou···ng···e ···an··· p···e.···ik···re···us···rk··· p···ee···th···se··· w···s ···ta···d ···th···ex···o ···re···t ··· s···nt···in···ma···n ···th···la···wh··· e···le···he···e ···si···er···d ···e ···ic···t ···a ···oc···io···lg···th···to···tc···eo···ri···la···.W···va···te···r ···ho···n ···li···at···ts···d ··· f···l ···er···nt···re···ts···ov···ha···ur···op···d ···te···mp···es···e ···ur··· o···am··· p··· e···ma···n.···it···al···th···ys··· a···en···th···pa··· m···wi···se···ti···la···in···ma···n,···an···g ··· a···ic···li···of···e ···te···n ···ot···,u···nn···dr···ng···gm···ed···al···(A···an···ir···l ···li···VR··

    ...
  • 9.动态···知子···建与···题报·

    • 张剑华;
    • 《天津理工大学;》
    • 2022年
    • 报告

    动态···别层···在许···任务···非常···作用···目从···效构···层次···如何···别层···方面···究,···无参···主题···研究···了语···表征···、完···于语···的零···本的···监督···习的···割应···、完···于多···息融···境三···研究···了基···端协···境三···研究···了新···属性···法、···次化···概率···语义···级式···基于···性和···结构···实现···督和···的语···方法···SL···统,···模态···终端···环境···统。···究成···了领···动态···别层···的认···及在···知方···用方···智能···端在···境中···主智···提供···础。

    ...
  • 10.SL···rm··· C···in···s ···n ···gu··· R···gn···on···se···n ···io···ra···or···

    • 关键词:
    • Emotion Recognition;Extraction;Context models;Contextual information;Contextual modeling;Extraction modeling;Humans-robot interactions;Main module;Sign language;Sign Language recognition;Visual feature;Visual feature extraction
    • Xi··· F···;L··· R···;Y···, ···nt···;F··· Z···in···ng···ia···;Z···g,···an···
    • 《10···In···na···na···on···en···on···fe···ve···mp···ng···d ···el···en···nt···ct··· W···sh··· a···De···, ···IW···22》
    • 2022年
    • October 17, 2022 - October 21, 2022
    • Na··· J···n
    • 会议

    Hu···-R···t ···er···io···HR···us···ly···cu··· o···he···te···ti···be···en···rm···pe···e ··· r···ts···gn···ng···e ···ds··· d···-m··· p···le···ea···ut···nd···du··· u···iz···ig···an···ge··· c···un···te···ei···ho···ts···d ···ti···. ···re···e,···nt···ou···ig···an···ge···co···ti···(C···) ··· b···nt···uc···to···e ···ot···r ···mu···at··· w··· d···-m··· p···le···ow···r,···e ···ns···am···LR···hi···co···st···f ··· m··· m···le···i.··· v···al···at··· e···ac···n ··· c···ex···l ···el···, ··· s···ra···ro···ms···is··· f···ur···ar···su···y ···ra···d ···me···-f···e ··· l··· g···al···nt···ua···nf···at···, ···ch···su··· i··· c···ia···mp··· o···ub···ue···co···xt···de···g.··· a···ti··· w···is···er···a ···st···ia···eg··· o···ed···an···in···e ···n ···gu··· d···, ···ch···n ···ni···an··· s··· d··· m···l ···in··· a···ex···rb··· t···pr···em··· m···l ···rf···in···To···lv···he···pr···em···in···is···pe···we···op··· a···ve···is··· t···sf···er···se···ig···an···ge···co···ti···ne···rk···mb···d ···h ··· o···fr··· e···ac···n ···E)···du···fo···cc···te···d-···en···ec···it··· o···np···vi··· s···en···. ··· C··· b···hm···s,···UT···RT···d ···C-···, ···e ···n ··· s···ec···f ··· e···ri···ts···he···tc···s ···ou···xp···me··· i···st···e ··· e···ca···of···r ···ho···© ···2 ···E.

    ...
  • 排序方式:
  • 6
  • /