is thesis presents contributions to structure-and-motion estimation. In par-ticular, the problem of view planning is considered, and continuous and discrete optimization-based algorithms are given for how to plan the path of a sensor to its destination, while balancing the competing goals of path length and reconstruction accuracy. e same concepts are then applied to the problem of sequential 3D reconstruction from unordered image sequences. Using co-variance propagation and image order selection for view planning, significant gains in robustness and computational efficiency are achieved. A second topic is refractive structure-and-motion, specifically the problem of absolute pose estimation when the camera and structure are separated by an optically refract-ing plane. Using methods from algebraic geometry for solving multivariate polynomial systems, efficient minimal and near-minimal solvers are constructed. Finally, a practical method for calibrating a set of cameras under refraction is given, including an algorithm for efficient refractive bundle adjustment.

Abstract: Users of social applications like to be notified when their friends are online. Typically, this is done by a central server keeping track of who is online and offline, as well as of all of the users ’ “buddy lists”, which contain sensi-tive information. We present DP5, a cryptographic service that implements online presence indication in a privacy-friendly way. DP5 allows clients to register their online presence and query the presence of their list of friends while keeping this list secret. Besides presence, high-integrity status updates are supported, to facilitate key update and rendezvous protocols. While infrastructure services are required for DP5 to operate, they are designed to not require any long-term secrets and pro-vide perfect forward secrecy in case of compromise. We pro-vide security arguments for the indistinguishability properties of the protocol, as well as an evaluation of its scalability and performance.

www.emnlp2015.org ii EMNLP 2015 gratefully acknowledges the following sponsors for their support:

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and other research outputs Linked USDL agreement: effectively sharing semantic service level agreements on the Web

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