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Highlights from
Alaa Tharwat ToolBox

• K=normalizekernel(x,kernel,ke... K=normalizekernel(x,kernel,kerneloption,xsup);
• T=phispan(x,phitype,dilation,... USAGE T=phispan(x,phitype,dilation,uo,a,bord1,bord2)
• T=waveletspan(x,dilation,uo,a... Usage T=waveletspan(x,dilation,uo,a,leftbound,rightbound)
• [DFLD_Trans]=F_JDLDAPro(Train... % Syntax: [DFLD_Trans]=F_JDLDAPro(TrainData,vNumEachClass);
• [F,delta]=aci(Y) THESE CODES WERE DEVELOPED WITH MATLAB 3
• [K,option]=svmkernel(x,kernel... Usage K=svkernel(x,kernel,kerneloption,xsup,frame,vector,dual);
• [P]=GRNN_final(trn,Test,nocla... This function used to design a generalized regression neural network.
• [P]=PNN_final(trn,Test,noclas... This function used to design a generalized regression neural network.
• [P]=RBE_final(trn,Test,noclas... This function used to claculate exact radial basis network
• [P]=RBF_final(trn,Test,noclas... This function used to design radial basis function
• [X]=fileaccess(datafile,Indic...
• [Xt,Xapp,Alpha,kM,valBeta,wM]... USAGE
• [a,b]=sort_knn(ii,y) This function used to sort tow matrices together
• [a1]=zigzag(pic1) This code is edited by Tamer Hosney
• [c,d]=rncalc(xapp,yapp,kernel... USAGE
• [c,d]=rnsolve(K,T,y,lambda)
• [eigvect,eigval,Kt]=kernelpca... USAGE
• [kernel,KernelInfo]=tensorwav... USAGE
• [matdctq]=dct(pic1) This function to calculate the DCT on the picture (pic1)
• [p,item,c]=knn(trx,tstx,lblx,... This code use to compute the Knn classification
• [phi,psi,xval]=waveletfunctio... Usage
• [x,vec]=pca_new_final(data) Remember that each column of the data matrix(input matrix) represent one image or pattern
• [xapp,yapp,xtest,ytest,xtest1... Usage
• [xsup,alpha,b,pos]=svmclassnp...
• [xsup,alpha,multiplier,pos,Ks... USAGE
• [xsup,w,b,nbsv,classifier,pos... [xsup,w,b,nbsv,classifier,posSigma]=svmmulticlassoneagainstone(x,y,nbclass,c,epsilon,kernel,kerneloption,verbose);
• [xsup,w,b,nbsv,pos,alpha]=svm... USAGE
• [xsup,w,b,nbsv,pos,obj]=svmmu... USAGE [xsup,w,b,nbsv,pos,obj]=svmmulticlass(x,y,nbclass,c,epsilon,kernel,kerneloption,verbose);
• [xsup,w,b,pos,timeps,alpha,st... % [xsup,w,b,pos,timeps,alpha,status,cost]]=svmclassLS(x,y,c,lambda,kernel,kerneloption,verbose,span,qpsize,chunksize)
• [xsup,w,b,pos,timeps,alpha]=s... % [xsup,w,b,pos,timeps,alpha]=svmclassL2LS(x,y,c,lambda,kernel,kerneloption,verbose,span,qpsize,chunksize)
• [xsup,w,b,pos]=LPsvmclass(xap... USAGE
• [xsup,w,d,pos,timeps,alpha,ob... USAGE [xsup,w,b,pos,timeps,alpha,obj]=svmclass(x,y,c,lambda,kernel,kerneloption,verbose,span, alphainit)
• [xsup,w,d,pos,timeps,alpha,ob... USAGE [xsup,w,b,pos,timeps,alpha]=svmclass(x,y,c,lambda,kernel,kerneloption,verbose,span)
• [xsup,w,d,rho,pos,timeps,alph... USAGE [xsup,w,b,rho,pos,timeps,alpha]=svmnuclass(x,y,nu,lambda,kernel,kerneloption,verbose,span, alphainit)
• [xsup,ysup,w,b,pos]=LPsvmreg(... USAGE
• [y,y1,y2]=svmval(x,xsup,w,b,k... USAGE
• [ypred,maxi,ypredMat]=svmmult... USAGE ypred=svmmultival(x,xsup,w,b,nbsv,kernel,kerneloption)
• [ypred,vote]=svmmultivaloneag... USAGE [ypred,vote]=svmmultivaloneagainstone(x,xsup,w,b,nbsv,kernel,kerneloption,Sigma)
• [ypred]=SVM_final(x,Test,y,nb... This code use to compute the SVM classifier
• cout(H,x,y,C,ind,c,A,b,lambda)
• feature=kernelpcaproj(xpca,xt...
• functioneval(x,fonction,a,b)
• givrot (x); GIVROT
• j=mindist_classifier_type_fin... This function used to calculate the minimum distance between the testing
• kernelset(A,kernelsetoption,o... USAGE
• monqp(H,c,A,b,C,l,verbose,X,p...
• monqp0(H,c,A,b,l,verbose,X,ps...
• r2smallestsphere(xapp,kernel,... usage
• spanestimate(x,y,kernel,kerne... USAGE
• svmoneclassval(x,xsup,alpha,r...
• svmreg(x,y,C,epsilon,kernel,k...
• svmreg(x,y,C,epsilon,kernel,k...
• svmreg(x,y,C,nu,kernel,kernel...
• svmregLS(x,y,C,epsilon,kernel...
• tst=pcadist_final(tst,vec,m,S... This function used to project the testing image on the features (PCA) space
• y=rnval(xapp,xtest,kernel,ker... USAGE
• Contents.m
• decision_dct_final.m
• decision_ica_final.m
• decision_lda_final.m
• decision_pca_final.m
• View all files