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...r of output segments which is predicted by the classifier and then the later lines list the names of the output predicted segments with txt extension # reading the parameter files input<-read.table("input.txt", header=TRUE) output<-read.table("output.txt", header=TRUE) # no_elements for 1 and 2 should be the same no_elements1<-as.integer(toString(input$para1[1])) no_elements2<-as.integer(toString(input$para2[1])) # increasing the memory limit to 4 MB memory.limit(size=4000) for (i in 1:no_elements1) { input_name<-toString(input$para1[i+1]) predict<-read...