简介:Theinformationretrievalisoneofthecommonoperationsincomputerinformationsystems.Thispaperproposesakindofinformationretrievalmethodbasedonfuzzysettheory.
简介:ANEWCOMPUTERRETRIEVALSYSTEMFORMETEOROLOGICALINFORMATION¥BeiGang(贝刚)ANEWCOMPUTERRETRIEVALSYSTEMFORMETEOROLOGICALINFORMATIONBei...
简介:ElectrondensityisakeyparametertocharacterizeMartianionosphericstructureanddynamics.BasedontheephemerisandauxiliaryinformationderivedfromtheSpacecraft,Planet,Instruments,C-matrix,andEvents(SPICE)toolkit,wecalculatedthebendingangleofsignalpathfromthefrequencyresidualsmeasuredbytheMarsExpressRadioScienceExperiment(MaRS)oftheMarsExpress(MEX)missionundertheassumptionofasphericallysymmetricionosphere.Westratifiedtheionosphereintolayersandassumedalinearchangeofbendinganglebetweenlayers,toderiveprofilesinradialdistanceofrefractivitywiththeoptimizedparametersofupperintegrallimitof4890kmandbaselinecorrectionboundaryof3690km.Meanwhile,wealsocomparedtheretrievedelectrondensityprofilesbetweenthefrequencyresidualsofthesingle-frequencyanddifferentialDopplerofthedual-frequency.Intotal,~640electrondensityprofilesofMartianionospherebetweenApril2004andApril2015wereretrievedsuccessfully.Thereare24profilesidentifiedmanuallythatexhibitanadditionalsporadiclayeroccurrencebelowthenormaltwo-layers.Wealsofoundthatthepeakaltitudeofthislayerincreaseswiththemainpeakaltitude.
简介:Alotof3Dshapedescriptorsfor3Dshaperetrievalhavebeenpresentedsofar.Thispaperproposesanewmechanism,whichemploysseveralexistingglobalandlocal3Dshapedescriptorsasinput.Withthesparsetheory,somedescriptorswhichplaythemostimportantroleinmeasuringsimilaritybetweenquerymodelandthemodelinthedatasetareselectedautomaticallyandanaffinitymatrixisconstructed.Spectralclusteringmethodcanbeimplementedtothisaffinitymatrix.Spectralembeddingofthisaffinitymatrixcanbeappliedtoretrieval,whichintegratingalmostalltheadvantagesofselecteddescriptors.Inordertoverifytheperformanceofourapproach,weperformexperimentalcomparisonsonPrincetonShapeBenchmarkdatabase.Testresultsshowthatourmethodisapose-oblivious,efficientandrobustnessmethodforeithercompleteorincompletemodels.
简介:Fabricpatterncontainsmanytypesoftheavailablepatternelements,whichnotonlycanbeusedfortheresearchers,butalsoasthematerialforthedesigner.Butexistingmethodfocusonthecompleteimageretrieval,thereforelackmethodsofretrievingpatternelements.Thisarticleproposesapatternelementsretrievalalgorithmbasedoncosinetransform.Firstly,automaticallysegmentthepatternsaccordingtosizeandlocationandfilterthesimilarprimarypatterns,then,throughcosinetransform,analyzeelementsfeaturesinDCTdomain,extractamplitudefrequencyandphasefrequency.Weemploy2-normtomeasurethesimilarity,search10similarpatternelementsinthesamplelibraryandsavetheminthedesignresourceslibrary.Experimentresultsindicatethatthisalgorithmperformswellwhileusedinpalacecostumeandcarpetpatterns,andgotmorethan75%oftheaveragerecallin100timesexperiments
简介:Inthisresearch,acontent-basedimageretrieval(CBIR)systemforhighresolutionsatelliteimageshasbeendevelopedbyusingtexturefeatures.Theproposedapproachusesthelocalbinarypattern(LBP)texturefeatureandablockbasedscheme.Thequeryanddatabaseimagesaredividedintoequallysizedblocks,fromwhichLBPhistogramsareextracted.TheblockhistogramsarethencomparedbyusingtheChi-squaredistance.ExperimentalresultsshowthattheLBPrepresentationprovidesapowerfultoolforhighresolutionsatelliteimages(HRSI)retrieval.
简介:当历史的中国书法工作是被数字化,检索的问题成为新挑战。但是,当前,没有光学字符识别技术能把书法字符图象变换成文本,存在笔迹字符识别途径也不能为它工作。这篇论文建议一条新奇途径到高效地根据类似检索中国书法人物:书法特性图象被许多歧视的特征代表,并且有合理有效性的高检索速度被完成。首先,没有类似于询问的可能性的书法字符被比较字符复杂性,笔划密度和笔划伸出一步一步地滤出。然后,类似的书法人物根据他们近似形状火柴生产的匹配的费用被检索并且评价。以便加快检索,我们采用了高维的数据结构—PK树。最后,算法的效率被一个初步的实验与3012幅书法特性图象表明。电子增补材料这篇文章(doi:10.1007/s11390-007-9077-8)的联机版本contatins增补材料,它对授权用户可得到。
简介:Westudythenormretrievalbyprojectionsonaninfinite-dimensionalHilbertspaceH.Let{e_i}_(i∈I)beanorthonormalbasisinHandW_i={e_i}~⊥foralli∈I.Weshowthat{W_i}_(i∈I)doesnormretrievalifandonlyifIisaninfinitesubsetofN.Wealsogivesomepropertiesofnormretrievalbyprojections.
简介:Theaimofthisstudyistodesignabiologicalinformationretrievalandanalysissystem(BIRAS)basedontheInternet.Usingthespecificnetworkprotocol,BIRASsystemcouldsendandreceiveinformationfromtheEntrezsearchandretrievalsystemmaintainedbyNationalCenterforBiotechnologyInformation(NCBI)inUSA.Theliteratures,nucleotidesequence,proteinsequences,andotherresourcesaccordingtotheuser-definedtermcouldthenberetrievedandsenttotheuserbypopupmessageorbyE-mailinformingautomaticallyusingBIRASsystem.Alltheinformationretrievingandanalyzingprocessesaredoneinreal-time.Asarobustsystemforintelligentlyanddynamicallyretrievingandanalyzingontheuser-definedinformation,itisbelievedthatBIRASwouldbeextensivelyusedtoretrievespecificinformationfromlargeamountofbiologicaldatabasesinnowdays.Theprogramisavailableonrequestfromthecorrespondingauthor.
简介:Thecombinationofvisualandtextualinformationinimageretrievalremarkablyalleviatesthesemanticgapoftraditionalimageretrievalmethods,andthusithasattractedmuchattentionrecently.Imageretrievalbasedonsuchacombinationisusuallycalledthecontent-and-textbasedimageretrieval(CTBIR).Nevertheless,existingstudiesinCTBIRmainlymakeeffortsonimprovingtheretrievalquality.Tothebestofourknowledge,littleattentionhasbeenfocusedonhowtoenhancetheretrievalefficiency.Nowadays,imagedataiswidespreadandexpandingrapidlyinourdailylife.Obviously,itisimportantandinterestingtoinvestigatetheretrievalefficiency.Tothisend,thispaperpresentsanefficientimageretrievalmethodnamedCATIRI(content-and-textbasedimageretrievalusingindexing).CATIRIfollowsathree-phasesolutionframeworkthatdevelopsanewindexingstructurecalledMHIM-tree.TheMHIM-treeseamlesslyintegratesseveralelementsincludingManhattanHashing,Invertedindex,andM-tree.TouseourMHIM-treewiselyinthequery,wepresentasetofimportantmetricsandrevealtheirinherentproperties.Basedonthem,wedevelopatop-kqueryalgorithmforCTBIR.ExperimentalresultsbasedonbenchmarkimagedatasetsdemonstratethatCATIRIoutperformsthecompetitorsbyanorderofmagnitude.
简介:Medicalimageapplicationinclinicaldiagnosisandtreatmentisbecomingmoreandmorewidely,Howtousealargenumberofimagesintheimagemanagementsystemanditisaveryimportantissuehowtoassistdoctorstoanalyzeanddiagnose.Thispaperstudiesthemedicalimageretrievalbasedonmulti-layerresamplingtemplateunderthethoughtofthewaveletdecomposition,theimageretrievalmethodconsistsoftworetrievalprocesswhichiscoarseandfineretrieval.Coarseretrievalprocessisthemedicalimageretrievalprocessbasedontheimagecontourfeatures.Fineretrievalprocessisthemedicalimageretrievalprocessbasedonmulti-layerresamplingtemplate,amulti-layersamplingoperatorisemployedtoextractimageresamplingimageseachlayer,thentheseresamplingimagesareretrievedstepbysteptofinishtheprocessfromcoarsetofineretrieval.
简介:在这份报纸,我们在基于社区的问答处理答案检索问题。为了充分捕获在问题答案之间的相互作用,配对,我们建议原来的张肌为在他们之间的关联建模的神经网络。问题和候选人答案独立被嵌进不同潜伏的语义空格,并且3方法张肌然后被利用为在潜伏的语义之间的相互作用建模。适当地初始化网络层,我们建议一个新奇算法打电话降噪张肌autoencoder(DTAE),然后实现用降噪嵌入张肌层上的层和DTAE的词上的autoencoders(DAE)的layerwisepretraining策略。试验性的结果显示出那我们神经网络超过的张肌有另外的竞争神经网络方法的各种各样的基线,和我们的pretrainingDTAE策略改进系统性能和坚韧性。
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简介:旋转扇子横梁scatterometer(RFSCAT)是被建议的卫星scatterometer的一种新类型约10一以前。然而,类似于另外的旋转scatterometers,相对更大的风检索错误与一行的中间的区域相比发生在天底和外部区域。为有给定的参数的RFSCAT,风方向检索精确性与中间的区域相比在外部区域在约9减少。处理这个问题,为RFSCAT的一个先进的风向量检索算法被介绍。新算法根据检索的风方向偏爱的分发直方图越过整个一行为每个风向量房间位置展示风方向的范围的适应延期。水平2A数据的100条轨道被模仿验证并且评估新算法。检索实验证明新先进算法罐头有效地在天底和RFSCAT一行的外部区域改进风方向检索精确性。在风方向检索的约1.6和9改进为分别地在天底和一行的边点定位的风向量房间被完成。