Face recognition from a single image per person: A survey
Pattern Recognition
Controlling the magnification factor of self-organizing feature maps
Neural Computation
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The Kohonen's self-organizing map algorithm for vector quantization of images is modified to reduce the edge degradation in the coded image. The learning procedure is performed by adaptive learning rates that are determined according to the image block activity. The simulation result of 4×4 vector quantization for 512×512 image coding demonstrates the feasibility of the proposed method