  This article demonstrates a new conceptor network based classifier in
classifying images. Mathematical descriptions and analysis are presented.
Various tests are experimented using three benchmark datasets: MNIST, CIFAR-10
and CIFAR-100. The experiments displayed that conceptor network can offer
superior results and flexible configurations than conventional classifiers such
as Softmax Regression and Support Vector Machine (SVM).
