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Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing is becoming more and more pressing. In this work we will employ the image content as a source of information to retrieve images. We study the representation of images by Latent Dirichlet Allocation (LDA) models for content-based image retrieval. Image representations are learned in an unsupervised fashion, and eachdoi:10.1145/1282280.1282283 dblp:conf/civr/HorsterLS07 fatcat:av6ycxhv3bhffamp4wmatrwn4m