A k-set structure over data streams is a bounded-space data structure that supports stream insertion and deletion operations and returns the set of (item, frequency) pairs in the s...
Finding correspondences between two (widely) separated views is essential for several computer vision tasks, such as structure and motion estimation and object recognition. In the...
This paper considers a general setting for structured procurement and the problem a buyer faces in designing a procurement mechanism to maximize profit. This brings together two a...
Matthew Cary, Abraham D. Flaxman, Jason D. Hartlin...
— Granular computing unifies structured thinking, structured problem solving and structured information processing. In order to see the flexibility and universal applicability ...
Learning the common structure shared by a set of supervised tasks is an important practical and theoretical problem. Knowledge of this structure may lead to better generalization ...
Andreas Argyriou, Charles A. Micchelli, Massimilia...