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2009 IEEE Conference on Computer Vision and Pattern Recognition
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling problems. Their use, however, is severely hampered in practice by the intractable complexity of representing and minimizing such functions. We observed that higher order functions encountered in computer vision are very often "sparse", i.e. many labelings of a higher order clique are equally unlikely and hence have the samedoi:10.1109/cvprw.2009.5206739 fatcat:a6j7xczk3vdthjs2ak2quopwym