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In this work, we present a method of producing image descriptors that is based on max-pooling of sparse codes. We use this method on images from the Solar Dynamics Observatory (SDO). The SDO produces over 70,000 images of the Sun each day, and with so many images being archived, an efficient method for finding similar images in this ever growing dataset is critical. Our method for producing descriptors...
In this work we present a composite method for image parameter evaluation using Scale-Invariant Feature Transform (SIFT) descriptors and bag of words representation applied to pre-selected image parameters, with potential applications to solar data and other domains. As one of the main challenges in computer vision, image parameter evaluation has been approached from supervised and unsupervised perspectives...
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