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Mumford–Shah model is a very popular variational model in image restoration and image classification. As a simplification, piecewise constant Mumford–Shah model is very useful and has been extensively studied in recent two decades. An interesting topic on Mumford–Shah model is how to choose the weight parameters for implementation. This paper aims at discussing and analyzing the relation between choosing...
Witnessing the sheer amount of user-contributed photos and videos, we argue to leverage such freely available image collections as the training images for image classification. We propose an image expansion framework to mine more semantically related training images from the auxiliary image collection provided with very few training examples. The expansion is based on a semantic graph considering...
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