基于Gabor小波变换的人脸表情特征提取基于Gabor小波变换的人脸表情特征提取
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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
2024/6/9 17:14:38 2.81MB R Machine Learning
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程序运行已经完成可以自动的提取图像的特征
2024/6/7 17:01:29 2KB 小波变换
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本文首先介绍了摄像机标定原理及图像预处理算法。
其次详细阐述了基于纹理特征的道路检测算法,主要包括Gabor滤波器纹理提取,道路消失点估计和道路区域分割。
2024/6/7 11:48:34 5.09MB 摄像机标定
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结合实例讲解AdaBoost
2024/6/1 10:26:12 225KB AdaBoost
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使用python中最有用的50个数据可视化图形,并且用代码清晰的演示了使用matplotlib和seaborn库的过程并且展示了最终的结果。
文章地址:https://blog.csdn.net/qq_35318838/article/details/102590566
2024/5/30 1:20:06 5.43MB python 可视化 matplotlib seaborn
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计算机专业毕业设计论文(C++)外文文献中英文翻译(Object),共13页ObjectlandscapesandlifetimesTechnically,OOPisjustaboutabstractdatatyping,inheritance,andpolymorphism,butotherissuescanbeatleastasimportant.Theremainderofthissectionwillcovertheseissues.对象的创建和存在时间对象的创建和存在时间对象的创建和存在时间对象的创建和存在时间从技术角度说,OOP(面向对象程序设计)只是涉及抽象的数据类型、继承以及多形性,但另一些问题也可能显得非常重要。
本节将就这些问题进行探讨
2024/5/26 12:58:24 60KB 外文翻译 c++外文翻译 毕业论文
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Sharinghealthcaredatabetweeninstitutionsischallenging.Heterogeneousdatastructuresmayprecludecompatibility,whiledisparateuseofhealthcareterminologylimitsdatacomprehension.Evenifstructureandsemanticscouldbeagreedupon,bothsecurityanddataconsistencyconcernsabound.Centralizeddatastoresandauthorityprovidersareattractivetargetsforcyberattack,andestablishingaconsistentviewofthepatientrecordacrossadatasharingnetworkisproblematic.InthisworkwepresentaBlockchain-basedapproachtosharingpatientdata.Thisapproachtradesasinglecentralizedsourceoftrustinfavorofnetworkconsensus,andpredicatesconsensusonproofofstructuralandsemanticinteroperability.
2024/5/26 3:19:09 402KB 区块链 医疗 交易网络
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Android之改进版贪吃蛇,http://blog.csdn.net/noaboutfengyue/article/details/43168161
2024/5/25 0:54:11 1.44MB Android 游戏 贪吃蛇
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CONTENTPART1BASICSOFINFERENCEOVERNETWORKSCHAPTER1AsynchronousAdaptiveNetworksCHAPTER2EstimationandDetectionOverAdaptiveNetworksCHAPTER3MultitaskLearningOverAdaptiveNetworksWithGroupingCHAPTER4BayesianApproachtoCollaborativeInferenceinNetworksCHAPTER5MultiagentDistributedOptimizationCHAPTER6DistributedKalmanandParticleFilteringCHAPTER7GameTheoreticLearningPART2SIGNALPROCESSINGONGRAPHSCHAPTER8GraphSignalProcessing.CHAPTER9SamplingandRecoveryofGraphSignalsCHAPTER10BayesianActivelearningonGraphs.CHAPTER11DesignofGraphFiltersandFilterbanksCHAPTER12StatisticalGraphSignalProcessing:StationarityandSpectralEstimationCHAPTER13InferenceofGraphTopologyCHAPTER14PartiallyAbsorbingRanclomWalks:AUnifieclFrameworkforLearningonGraphsPART3DISTRIBUTEDCOMMUNICATIONS,NETWORKING,ANDSENSING.....
2024/5/24 22:32:11 27.96MB Signal Proce
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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。
2024-04-09 15:03 15KB 钉钉 钉钉打卡