A Comparison of Hebbian Learning Methods for Image Compression using the Mixture of Principal Components Network


A number of novel adaptive image compression methods have been developed using a new approach to data representation, a mixture of principal components (MPC). MPC, together with principal component analysis (PCA) and vector quantization (VQ), form a spectrum of representations. The MPC network partitions the space into a number of regions or subspaces… (More)