Abstract The time-to-digital-converter (TDC) using uncontrolled delay lines has a simple structure and finer measurement precision since the cells are pure digital gates that operate at maximum speed. For every incoming hit, two “snapshots” of line taken by register array with strobes separated known time interval. With measurements, propagation delays each cell in can be calibrated for operati...

Geometric camera calibration is a prerequisite for making accurate geometric measurements from image data and it is hence a fundamental task in computer vision. This article gives a discussion about the camera models and calibration methods used in the field. The emphasis is on conventional calibration methods where the parameters of the camera model are determined by using images of a calibrat...

This paper compares three methods of item calibration—concurrent calibration, separate calibration with linking, and fixed item parameter calibration—that are frequently used for linking item parameters to a base scale. Concurrent and separate calibrations were implemented using BILOG-MG. The Stocking and Lord (1983) characteristic curve method of parameter linking was used in conjunction with ...

Probabilistic calibration is the task of producing reliable estimates of the conditional class probability P (class|observation) from the outputs of numerical classifiers. A recent comparative study [1] revealed that Isotonic Regression [2] and Platt Calibration [3] are most effective probabilistic calibration technique for a wide range of classifiers. This paper will demonstrate that these met...

In this paper we revisit the problem of classifier calibration, motivated by the issue that existing calibration methods ignore the problem attributes (i.e., they are univariate). These methods only use the estimated probability as input and ignore other important information, such as the original attributes of the problem. We propose a new calibration method inspired in binning-based methods i...