DetailsTitle:DigitalImageProcessing,4thEditionAuthor:RafaelC.Gonzalez,RichardE.WoodsLength:1192pagesEdition:4Language:EnglishPublisher:PearsonPublicationDate:2017-03-30ISBN-10:0133356728ISBN-13:9780133356724SalesRank:#680902(SeeTop100Books)CategoriesComputers&TechnologyEngineering&TransportationEngineeringTextbooksDescriptionIntroduceyourstudentstoimageprocessingwiththeindustry’smostprizedtextFor40years,ImageProcessinghasbeenthefoundationaltextforthestudyofdigitalimageprocessing.Thebookissuitedforstudentsatthecollegeseniorandfirst-yeargraduatelevelwithpriorbackgroundinmathematicalanalysis,vectors,matrices,probability,statistics,linearsystems,andcomputerprogramming.Asinallearliereditions,thefocusofthiseditionofthebookisonfundamentals.The4thEdition,whichcelebratesthebook’s40thanniversary,isbasedonanextensivesurveyoffaculty,students,andindependentreadersin150institutionsfrom30countries.Theirfeedbackledtoexpandedornewcoverageoftopicssuchasdeeplearninganddeepneuralnetworks,includingconvolutionalneuralnets,thescale-invariantfeaturetransform(SIFT),maximally-stableextremalregions(MSERs),graphcuts,k-meansclusteringandsuperpixels,activecontours(snakesandlevelsets),andexacthistogrammatching.?Majorimprovementsweremadeinreorganizingthematerialonimagetransformsintoamorecohesivepresentation,andinthediscussionofspatialkernelsandspatialfiltering.?Majorrevisionsandadditionsweremadetoexamplesandhomeworkexercisesthroughoutthebook.Forthefirsttime,weaddedMATLABprojectsattheendofeverychapter,andcompiledsupportpackagesforyouandyourteachercontaining,solutions,imagedatabases,andsamplecode.Thesupportmaterialsforthistitlecanbefoundatwww.ImageProcessingPlace.com

【作者】PerChristianHansen【出版社】SocietyforIndustrialandAppliedMathematic【出版日期】October29,2006【ISBN】08987161879780898716184【形态项】9.8x6.7x0.3inches【语言】English【价格】$63.00DeblurringImages:Matrices,Spectra,andFiltering(FundamentalsofAlgorithms3)(FundamentalsofAlgorithms)ByPerChristianHansenPublisher:SocietyforIndustrialandAppliedMathematicNumberOfPages:130PublicationDate:2006-10-29ISBN-10/ASIN:0898716187ISBN-13/EAN:9780898716184Binding:Paperback“Thebook’sfocusonimagingproblemsisveryuniqueamongthecompetingbooksoninverseandill-posedproblems.…ItgivesaniceintroductionintotheMATLABworldofimagesanddeblurringproblems.”—MartinHanke,Professor,InstitutfürMathematik,Johannes-Gutenberg-Universität.Whenweuseacamera,wewanttherecordedimagetobeafaithfulrepresentationofthescenethatwesee,buteveryimageismoreorlessblurry.Inimagedeblurring,thegoalistorecovertheoriginal,sharpimagebyusingamathematicalmodeloftheblurringprocess.Thekeyissueisthatsomeinformationonthelostdetailsisindeedpresentintheblurredimage,butthis“hidden”informationcanberecoveredonlyifweknowthedetailsoftheblurringprocess.DeblurringImages:Matrices,Spectra,andFilteringdescribesthedeblurringalgorithmsandtechniquescollectivelyknownasspectralfilteringmethods,inwhichthesingularvaluedecomposition—orasimilardecompositionwithspectralproperties—isusedtointroducethenecessaryregularizationorfilteringinthereconstructedimage.TheconciseMATLAB®implementationsdescribedinthebookprovideatemplateoftechniquesthatcanbeusedtorestoreblurredimagesfrommanyapplications.Thisbook’streatmentofimagedeblurringisuniqueintwoways:itincludesalgorithmicandimplementationdetails;andbykeepingtheformulationsintermsofmatrices,vectors,andmatrixcomputations,itmakesthematerialaccess

Thispracticalguideprovidesnearly200self-containedrecipestohelpyousolvemachinelearningchallengesyoumayencounterinyourdailywork.Ifyou’recomfortablewithPythonanditslibraries,includingpandasandscikit-learn,you’llbeabletoaddressspecificproblemssuchasloadingdata,handlingtextornumericaldata,modelselection,anddimensionalityreductionandmanyothertopics.Eachrecipeincludescodethatyoucancopyandpasteintoatoydatasettoensurethatitactuallyworks.Fromthere,youcaninsert,combine,oradaptthecodetohelpconstructyourapplication.Recipesalsoincludeadiscussionthatexplainsthesolutionandprovidesmeaningfulcontext.Thiscookbooktakesyoubeyondtheoryandconceptsbyprovidingthenutsandboltsyouneedtoconstructworkingmachinelearningapplications.You’llfindrecipesfor:Vectors,matrices,andarraysHandlingnumericalandcategoricaldata,text,images,anddatesandtimesDimensionalityreductionusingfeatureextractionorfeatureselectionModelevaluationandselectionLinearandlogicalregression,treesandforests,andk-nearestneighborsSupportvectormachines(SVM),naïveBayes,clustering,andneuralnetworksSavingandloadingtrainedmodels

NumericalPython:ScientificComputingandDataScienceApplicationswithNumpy,SciPyandMatplotlibBy作者:RobertJohanssonISBN-10书号:1484242459ISBN-13书号:9781484242452Edition版本:2nded.出书日期:2018-12-25pages页数:(700)WorkwithvectorsandmatricesusingNumPyPlotandvisualizedatawithMatplotlibPerformdataanalysistaskswithPandasandSciPyReviewstatisticalmodelingandmachinelearningwithstatsmodelsandscikit-learnOptimizePythoncodeusingNumbaandCythonCoverFrontMatter1.IntroductiontoComputingwithPython2.Vectors,Matrices,andMultidimensionalArrays3.SymbolicComputing4.PlottingandVisualization5.EquationSolving6.Optimization7.Interpolation8.Integration9.OrdinaryDifferentialEquations10.SparseMatricesandGraphs11.PartialDifferentialEquations12.DataProcessingandAnalysis13.Statistics14.StatisticalModeling15.MachineLearning16.BayesianStatistics17.SinalProcessing18.DataInputandOutput19.CodeOptimization

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。