This paper presents an adaptive visualization for helping the needle insertion task for RF liver ablation under CT-fluoroscopy (CTfluoro) guidance. It shows slices of the 3D CT-volume that are resulting from the out-of-plane motion parameters along weighted isosurfaces in the convergence basin of the employed cost function. The visualization is coupled to the uncertainty in estimating the defor...

We study the basic problem of robust subspace recovery. That is, we assume a data set that some of its points are sampled around a fixed subspace and the rest of them are spread in the whole ambient space, and we aim to recover the fixed underlying subspace. We first estimate “robust inverse sample covariance” by solving a convex minimization procedure; we then recover the subspace by the botto...

In this paper, a robust fractal image compression method based on M-estimator is presented. The proposed applies the to parameter estimation in encoding procedure using Huber and Tukey’s statistics. M-estimation reduces influence of outliers makes algorithm noisy image. Meanwhile, quadtree partitioning approach has been used methods improve efficiency algorithm, some unnecessary computations ar...

Let X be a random variable from a normal distribution with unknown mean θ and known variance σ2. In many practical situations, θ is known in advance to lie in an interval, say [−m,m], for some m > 0. As the usual estimator of θ, i.e., X under the LINEX loss function is inadmissible, finding some competitors for X becomes worthwhile. The only study in the literature considered the problem of min...

The Burr type III distribution allows for a wider region for the skewness and kurtosis plane, which covers several distributions including the log-logistic, and theWeibull and Burr type XII distributions. However, outliersmay occur in the data set. The robust regressionmethod such as an M-estimator with symmetric influence function has been successfully used to diminish the effect of outliers o...

——————————————————————————————————– Abstract This paper considers the nonparametric M–estimator in a nonlinear cointegration type model. The local time density argument, which was developed by Phillips and Park (1998) and Wang and Phillips (2009a), is applied to establish the asymptotic theory for the nonparametric M–estimator. The weak consistency and the asymptotic distribution of the propose...

This paper introduces a novel blind carrier phase recovery estimator for general 2π/M-rotationally symmetric constellations. This estimation method is a generalization of the non-data-aided (NDA) nonlinear Phase Metric Method (PMM) estimator already designed for general quadrature amplitude constellations. This unbiased estimator is seen here as a fourth order PMM then generalized to M th order...