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1、D.Bhattacharjee,M.K.Bhowmik,M.Nasipuri,D.K.Basu&M.KunduAParallelFrameworkforMultilayerPerceptronforHumanFaceRecognitionDebotoshBhattacharjeedebotosh@indiatimes.comReader,DepartmentofComputerScienceandEngineering,JadavpurUniversity,Kolkata-700032,India.MrinalKantiBhowmikmkb_c
2、se@yahoo.co.inLecturer,DepartmentofComputerScienceandEngineering,TripuraUniversity(ACentralUniversity),Suryamaninagar-799130,Tripura,India.MitaNasipurimitanasipuri@gmail.comProfessor,DepartmentofComputerScienceandEngineering,JadavpurUniversity,Kolkata-700032,India.DipakKumar
3、Basudipakkbasu@gmail.comProfessor,AICTEEmeritusFellow,DepartmentofComputerScienceandEngineering,JadavpurUniversity,Kolkata-700032,India.MahantapasKundumkundu@cse.jdvu.ac.inProfessor,DepartmentofComputerScienceandEngineering,JadavpurUniversity,Kolkata-700032,India.AbstractArt
4、ificialneuralnetworkshavealreadyshowntheirsuccessinfacerecognitionandsimilarcomplexpatternrecognitiontasks.However,amajordisadvantageofthetechniqueisthatitisextremelyslowduringtrainingforlargerclassesandhencenotsuitableforreal-timecomplexproblemssuchaspatternrecognition.This
5、isanattempttodevelopaparallelframeworkforthetrainingalgorithmofaperceptron.Inthispaper,twogeneralarchitecturesforaMultilayerPerceptron(MLP)havebeendemonstrated.ThefirstarchitectureisAll-Class-in-One-Network(ACON)wherealltheclassesareplacedinasinglenetworkandthesecondoneisOne
6、-Class-in-One-Network(OCON)whereanindividualsinglenetworkisresponsibleforeachandeveryclass.Capabilitiesofthesetwoarchitectureswerecomparedandverifiedinsolvinghumanfacerecognition,whichisacomplexpatternrecognitiontaskwhereseveralfactorsaffecttherecognitionperformancelikeposev
7、ariations,facialexpressionchanges,occlusions,andmostimportantlyilluminationchanges.BoththestructureswereInternationalJournalofComputerScienceandSecurity(IJCSS),Volume(3):Issue(6)1D.Bhattacharjee,M.K.Bhowmik,M.Nasipuri,D.K.Basu&M.Kunduimplementedandtestedforfacerecognitionpur
8、poseandexperimentalresultsshowthattheOCONstructureperformsbetterthanthegene
