Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Power consumption has been the primary issue in processor design, with various power reduction strategies being adopted from system-level to circuitlevel. In order to develop a po...
We address the alignment of a group of images with simultaneous
registration. Therefore, we provide further insights
into a recently introduced class of multivariate similarity
...
Christian Wachinger (TU Munich), Nassir Navab (TU ...
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...