We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark ...
This paper describes a highly reliable digital circuit design method based on totally self checking blocks implemented in FPGAs. The bases of the self checking blocks are parity p...
: The main contribution of this paper is a novel approach for fast searching in huge structural databases like the PDB. The data structure is based on an adaption of the generalize...
In this paper model-based reconstruction methods are applied to the detailed reconstruction of buildings from close-range images. The 3D points obtained through image matching are...
General object recognition in mobile robots is of primary importance in order to enhance the representation of the environment that robots will use for their reasoning processes. T...
Arnau Ramisa, Shrihari Vasudevan, David Aldavert, ...