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...
Estimation via sampling out of highly selective join queries is well known to be problematic, most notably in online aggregation. Without goal-directed sampling strategies, samples...
We present an analytical method to estimate the absolute registration error bounds if two surfaces were to be aligned using the ICP (Iterative Closest Point) algorithm. The estima...
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
This paper presents an approach for applying a dual quaternion hand– eye calibration algorithm on an endoscopic surgery robot. Special focus is on robustness, since the error of ...