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The recognition of landmarks in images can help to manage large image collections and thus is desirable for many image retrieval applications. A practical system has to be scalable with an increasing number of landmarks. For the domain of landmark recognition we investigate state-of-the-art CBIR methods on an image dataset of 900 landmarks. Our experiments show that the kNN classifier outperforms the SVM in a large-scale scenario. The examined visual phrase concept has shown not to be asdblp:conf/lwa/RischkaC14 fatcat:5smcj5xxvvguvnnqv36k53364e