Computer sensing of hand and limb motion is an important problem for applications in humancomputer interaction and computer graphics. We describe a framework for local tracking of...
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
— Design of Service Level Agreements (SLAs) emerges as an increasingly important discipline in business-oriented IT management. In this work, we study utility maximization of con...
David Breitgand, Elean A. Henis, Onn Shehory, John...