We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Recent work [5, 6] showed that learning-based patch
rectification methods are both faster and more reliable than
affine region methods. Unfortunately, their performance improveme...
Stefan Hinterstoisser, Oliver Kutter, Nassir Navab...
This paper describes the Resource Allocation and Control Engine (RACE) that integrates multiple resource management algorithms for (re)deploying and managing performance of applic...
Abstract. In order to realise complex service-based applications on system platforms for context-aware ubiquitous computing environments, mobile processes have been introduced to s...
Christian P. Kunze, Sonja Zaplata, Mirwais Turjale...
High-quality machine translation between human languages has for a long time been an unattainable dream for many computer scientists involved in this fascinating and interdisciplin...