Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Abstract tion 6. When we have some estimation errors in the autoPractical problems are dealt with for augmented reality calibration, we may have a different perspective view from w...
We present a pose estimation method for rigid
objects from single range images. Using 3D models of the
objects, many pose hypotheses are compared in a data-parallel
version of t...
In Kyu Park, Marcel Germann, Michael D. Breitenste...
: There are various applications in wireless sensor networks which require knowing the relative or actual position of the sensor nodes. Over the past few years, there have been dif...
Quorum systems are a mechanism for obtaining fault-tolerance and efficient distributed systems. We consider geographic quorum systems; a geographic quorum system is a partition of...