Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Abstract. In this paper we present a new approach for establishing correspondences between sparse image features related by an unknown non-rigid mapping and corrupted by clutter an...
Lorenzo Torresani, Vladimir Kolmogorov, Carsten Ro...
In this paper, we develop data driven registration algorithms, relying on robust pixel similarity metrics, that enable an accurate (subpixel) rigid registration of dissimilar singl...
In data integration applications, a join matches elements that are common to two data sources. Often, however, elements are represented slightly different in each source, so an app...
We investigate algorithms for evaluating moving window joins over pairs of unbounded streams. We introduce a unit-time-basis cost model to analyze the expected performance of thes...