Lookahead selective sampling for incomplete data

Photon dosimetry based on selective data sampling for the NaI(TL) detector

Radiation detection is essential for determining of radiation dose. Depend on the detector and dosimetry method, detection process is performed in different levels. Pulse counting is the first level of detection. Typically, the output of a radiation detector for determining value of the radiation dose cannot be used directly. Through changing the response function or the readout detector, is tr...

Image Reconstruction from Incomplete Data

Selective Sampling on Probabilistic Data

In the literature of supervised learning, most existing studies assume that the labels provided by the labelers are deterministic, which may introduce noise easily in many real-world applications. In many applications like crowdsourcing, however, many labelers may simultaneously label the same group of instances and thus the label of each instance is associated with a probability. Motivated by ...

Image Reconstruction from Incomplete Data

A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data

The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...