In this paper, we examine an emerging variation of the classification problem, which is known as the inverse classification problem. In this problem, we determine the features to b...
In this paper, we discuss the inverse classification problem, in which we desire to define the features of an incomplete record in such a way that will result in a desired class l...
We consider the inverse problem of determining the spherically symmetric index of refraction n(r) from a knowledge of the corresponding transmission eigenvalues (which can be deter...
Abstract. This paper surveys some of the work our group has done in electrical impedance tomography. Key words. electrical impedance tomography, pulmonary embolus, inverse boundary...
Jonathan C. Newell, David Isaacson, Jennifer L. Mu...
: We present a new iterative method for probabilistic clustering of data. Given clusters, their centers and the distances of data points from these centers, the probability of clus...