tag 标签: neural

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    COMBININGIMAGEENTROPYWITHTHEPULSECOUPLED NEURALNETWORKINEDGEDETECTION 2010
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    时间: 2019-12-25 22:44
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    AbstractInrecenttwentyyears,thetechniqueoffacedetectionandfacerecognition,asoneoftheimportantresearchareaofcomputervisionandimageunderstanding,attractsmoreandmoreattention.Ingeneral,facedetectioningray-levelstillimagesismoredifficultthanthatincolorimages.Thereforethispaperbrieflysurveysthisareaandindicatessomeissuesforexploration.……
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    TraditionalDSPisbasedonalgorithms,changingdatafromoneformtoanotherthroughstep-bystepprocedures.Mostofthesetechniquesalsoneedparameterstooperate.Forexample:recursivefiltersuserecursioncoefficients,featuredetectioncanbeimplementedbycorrelationandthresholds,animagedisplaydependsonthebrightnessandcontrastsettings,etc.Algorithmsdescribewhatistobedone,whileparametersprovideabenchmarktojudgethedata.Theproperselectionofparametersisoftenmoreimportantthanthealgorithmitself.Neuralnetworkstakethisideatotheextremebyusingverysimplealgorithms,butmanyhighlyoptimizedparameters.Thisisarevolutionarydeparturefromthetraditionalmainstaysofscienceandengineering:mathematicallogicandtheorizingfollowedbyexperimentation.Neuralnetworksreplacetheseproblemsolvingstrategieswithtrial&error,pragmaticsolutions,anda"thisworksbetterthanthat"methodology.ThischapterpresentsavarietyofissuesregardingparameterselectioninbothneuralnetworksandmoretraditionalDSPalgorithms.CHAPTERNeuralNetworks(andmore!)26TraditionalDSPisbasedonalgorithms,changingdatafromoneformtoanotherthroughstep-by-stepprocedures.Mostofthesetechniquesalsoneedparameterstooperate.Forexample:recursivefiltersuserecursioncoefficients,featuredetectioncanbeimplementedbycorrelationandthresholds,animagedisplaydependsonthebrightnessandcontrastsettings,etc.Algorithmsdescribewhatistobedone,whileparametersprovideabenchmarktojudgethedata.Theproperselectionofparametersisoftenmoreimportantthanthealgorithmitself.Neuralnetworkstakethisideatotheextremebyusingverysimplealgorithms,butmanyhighlyoptimizedparameters.Thisisarevolutionarydeparturefromthetraditionalmai……
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    applicationsofneuralnetworksindesignofdigitalfilters55.1APPLICATIONOFNEURALNETWORKINDESIGNOFDIGITALFILTERSDaliWangandAliZilouchianINTRODUCTIONAnyactiononasignalthatmodifiesthespectralcontentofthesignaliscalledfiltering.Thisincludestheenhancementorsuppressionofcertainfeaturesofthesignalandisusuallyachievedbytheuseoflineartimeinvariantsystems.Therearesituationswherethesystemmaychangewithtimeinaparticularmanner;suchsystemsarecalledadaptivefilters.Inthissection,wedescribefixedfiltersonly.Therearetwobroadclassesofdigitalfilters.Thefirstclassiscalledfiniteimpulseresponse(FIR)filters,sincetheirresponsetoanimpulsediesawayinafinitenumberofsamples.FIRfiltersaredevelopedasnon-recursivestructuresandareinherentlysimplertodes……