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Image classification using compression distance
International Conference on Vision, Video and Graphics
The normalised compression distance measures the mutual compressibility of two signals. We show that this distance can be used for classification on real images. Furthermore, the same compressor can also operate on derived features with no further modification. We consider derived features consisting of trees indicating the containment and relative area of connected sets within the image. It had been previously postulated that such trees might be useful features, but they are too complicateddoi:10.2312/vvg.20051023 dblp:conf/vvg/LanH05 fatcat:uvmvz2ckwzejlevglltp6hnk34