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Mining massive and high-speed data streams among the main contemporary challenges in machine learning. This calls for methods… Expand Metric graphs are ubiquitous in science and engineering. For example, many data are drawn from hidden spaces that are graph-like… Expand The paper investigates the acceleration of t-SNE--an embedding technique that is commonly used for the visualization of high… Expand Keypoint matching between pairs of images using popular descriptors like SIFT or a faster variant called SURF is at the heart of… Expand Metric Access Methods (MAM) are widely employed to speed up the evaluation of similarity queries, such as range and k-nearest… Expand Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature… Expand This work offers some improvements in the current distance-based indexing techniques. An optimal similarity search algorithm that… Expand Many recent database applications need to deal with similarity queries. For such applications, it is important to measure the… Expand In this paper we present the Slim-tree, a dynamic tree for organizing metric datasets in pages of fixed size. The Slim-tree uses… Expand Abstract Divide-and-conquer search strategies are described for satisfying proximity queries involving arbitrary distance metrics… Expand