Learning high-level independent components of images through a spectral representation


Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for learning high-level representations of whole images or scenes. We show empirically that independent component analysis is able to capture some intuitive natural image categories when… (More)
DOI: 10.1109/ICPR.2004.1334043

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