Dirk Lücke

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A three stage recognition architecture that can be trained to different recognition or segmentation tasks is presented. It consists of an adaptive feature extraction based on vector quantization and local PCA. The features are classified by neural expert networks. It will be shown that the system can be applied to object classification, segmentation of(More)
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