… on landmark images. We demonstrate how the set of retrieved landmark images can be further
… The second part then focuses on an important image type, which is automatically rejected …

… larger 1M image dataset of Rome. This is, to our knowledge, the largest dataset to which
image-based data mining … , not on images – we want to associate a set of images of the same …

… of large image collections and of scalable machine learning techniques has led to a resurgence
of semantic representation for image … to a set of 4,000 diversified images from which we …

… is that the quality of their final graph structure highly depends on those initial seeds, and
their method can easily miss important connections between components of the image set. …

… in computer vision, image processing, image retrieval, data mining, machine learning, … in
image mining, current developments in image mining, particularly, image mining frameworks, …

… extents derived by visual interpretation of satellite images. Our data set covers more than
six thousand mining sites distributed across the entire globe. These mining sites have reported …

… In this section we introduce the data mining terminology and notations. In our framework,
each image is described by a set of mid-level clusters [19]. In data mining terms, each image …

… the essence of data mining and a discussion of how data mining is treated by … mine data.
This chapter is also the place where we summarize a few useful ideas that are not data mining …

… research fields cited above, research in image mining is still in its infancy. … in image mining,
current developments in image mining, … of image databases that brought a whole new set of …

… Imagine that a large-scale image set is available so that, for each query image, at least one
… collect such a data set is the Web; it not only contains large numbers of images, but these …