DeepLearningforNLPandSpeechRecognition

使用AbstractTableModel构建Table在表格中添加JButton按钮，之前在网上找了2天没有找到好用的程序，最终终于找到一个好用的例子。
不要使，我退你们分。
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singtheSwingJTableclasscanquicklybecomeastickybusinesswhenyouwanttocustomizeittoyourspecificneeds.FirstyoumustbecomefamiliarwithhowtheJTableclassisorganized.IndividualcellsarerenderedbyTableCellRendererimplementations.ThetablecontentsarerepresentedbyanimplementationoftheTableModelinterface.Bydefault,JTableusesDefaultTableCellRenderertodrawitscells.DefaultTableCellRendererrecognizesafewprimitivetypes,renderingthemasstrings,andcanevendisplayBooleantypesascheckboxes.ButitdefaultstodisplayingthevaluereturnedbytoString()fortypesitdoesnotspecificallyhandle.YouhavetoprovideyourownTableCellRendererimplementationifyouwanttodisplaybuttonsinaJTable.TheTableCellRendererinterfacecontainsonlyonemethod,getTableCellRendererComponent(...),whichreturnsajava.awt.Componentthatknowshowtodrawthecontentsofaspecificcell.Usually,getTableCellRendererComponent()willreturnthesamecomponentforeverycellofacolumn,toavoidtheunnecessaryuseofextramemory.Butwhenthecontentsofacellisitselfacomponent,itisallrighttoreturnthatcomponentastherenderer.Therefore,thefirststeptowardshavingJButtonsdisplaycorrectlyinaJTableistocreateaTableCellRendererimplementationthatreturnstheJButtoncontainedinthecellbeingrendered.Intheaccompanyingcodelisting,JTableButtonRendererdemonstrateshowtodothis.EvenaftercreatingacustomTableCellRenderer,you'restillnotdone.TheTableModelassociatedwithagivenJTabledoesnotonlykeeptrackofthecontentsofeachcell,butitalsokeepstrackoftheclassofdatastoredineachcolumn.DefaultTableModelisdesignedtoworkwithDefaultTableCellRendererandwillreturnjava.lang.String.classforcolumnscontainingdatatypesthatitdoesnotspecificallyhandle.Theexact

论文《DistinctiveImageFeaturesfromScale-InvariantKeypoints》和《ObjectRecognitionfromLocalScale-InvariantFeatures》及SIFT源代码，代码里附有详细注释。

这是一本编程入门书籍，正如序言所说：Thegoalofthisbookistoteachthereadertothinkrecursively.Andtoreadthisbook,thereadermustbecomfortablereadingEnglish,recognizingnumbers,andcounting.

基于稀疏表示的人脸识别系统设计采用sparse中的L1-normminimization基于经典入门论文《facerecognitonviasparserepresentation》MATLAB程序，完全运行，包含基本GUI设计和完整代码可以参考说明一步步跑下来，希望能帮助大家

Title:RMachineLearningEssentialsAuthor:MicheleUsuelliLength:218pagesEdition:1Language:EnglishPublisher:PacktPublishingPublicationDate:2014-11-25ISBN-10:178398774XISBN-13:9781783987740GainquickaccesstothemachinelearningconceptsandpracticalapplicationsusingtheRdevelopmentenvironmentAboutThisBookBuildmachinelearningalgorithmsusingthemostpowerfultoolsinRIdentifybusinessproblemsandsolvethembydevelopingeffectivesolutionsHands-ontutorialexplainingtheconceptsthroughlotsofpracticalexamples,tipsandtricksWhoThisBookIsForIfyouwanttolearnhowtodevelopeffectivemachinelearningsolutionstoyourbusinessproblemsinR,thisbookisforyou.Itwouldbehelpfultohaveabitoffamiliaritywithbasicobject-orientedprogrammingconcepts,butnopriorexperienceisrequired.InDetailRMachineLearningEssentialsprovidesyouwithanintroductiontomachinelearningwithR.Machinelearningfindsitsapplicationsinspeechrecognition,search-basedoperations,andartificialintelligence,amongotherthings.Youwillstartoffbygettinganintroductiontowhatmachinelearningis,alongwithsomeexamplestodemonstratetheimportanceinunderstandingthebasicideasofmachinelearning.ThisbookwillthenintroduceyoutoRandyouwillseethatitisaninfluentialprogramminglanguagethataidseffectivemachinelearning.Youwilllearnthethreestepstobuildaneffectivemachinelearningsolution,whichareexploringthedata,buildingthesolution,andvalidatingtheresults.Thebookwilldemonstrateeachstep,highlightingtheirpurposeandexplainingtechniquesrelatedtothem.Bytheendofthisbook,youwillbeabletousethemachinelearningtechniqueseffectively,identifybusinessproblems,andsolvethembyapplyingappropriatesolutions.TableofContentsChapter1.TransformingDataintoActionsChapter2.R–APowerfulToolforDevelopingMachineLearningAlgorith

简单易懂，Matlab编写的路标识别程序，可以对一幅图像中的多个路标进行识别。
对雾化图片效果很好！Matlabprogramwritteninroadsignsrecognition,animagecanbeidentifiedinanumberofsigns.Goodeffectontheatomizationpictures!

代码是根据论文"LearningMulti-scaleBlockLocalBinaryPatternsforFaceRecognition"进行编写的MultiscaleBlockLocalBinaryPattern(MB-LBP)

书（影印版），页码全，并且附带图书阅览器。

Fusionofsyntheticapertureradar(SAR)andforwardlookinginfrared(FLIR)imagesisanimportantsubjectforaerospaceandsensorsurveillance.ThispaperpresentsaschemetoachieveanaturalcolorimagebasedonthecontoursfeatureofSARandthetargetregionfeatureofFLIRsothattheoverallscenerecognitionandsituationalawarenesscanbeimproved.TheSARandFLIRimagesarefirstdecomposedintosteerablepyramids,andthecontourmapsintheSARimageandtheregionmapsinthe

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。