This paper explores the concept of “pure fault tolerance”--when a system can fulfill its computational goal, even though some of its components do not fulfill theirs. This leads to a natural statement of the composition problem for a very general concept of architecture: to what extent are the properties of a system based on that architecture a function of the properties of the components? The ...

This paper explores the concept of “pure fault tolerance”--when a system can fulfill its computational goal, even though some of its components do not fulfill theirs. This leads to a natural statement of the composition problem for a very general concept of architecture: to what extent are the properties of a system based on that architecture a function of the properties of the components? The ...

The work presented in this paper deals with the performance analysis of the whole 3D reconstruction process of imaged objects, specifically of the set of geometric primitives describing their outline and extracted from a pair of images knowing their associated camera models. The proposed analysis focuses on error estimation for the edge detection process, the starting step for the whole reconst...

We present a method for automatically detecting errors in a manually marked corpus using anomaly detection. Anomaly detection is a method for determining which elements of a large data set do not conform to the whole. This method fits a probability distribution over the data and applies a statistical test to detect anomalous elements. In the corpus error detection problem, anomalous elements ar...

The verification performance of biometric systems is normally evaluated using the receiver operating characteristic (ROC) or detection error trade-off (DET) curve. We propose two new ideas for statistical evaluation of biometric systems based on these data. The first is a new way to normalize match score distributions. A normalized match score, t̂, is calculated as a function of the angle from a...