It is desirable to find unusual data objects by Ramaswamy et al's distance-based outlier definition because only a metric distance function between two objects is required. It...
We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography. We consider three reconstruction techniques: Fourier, iter...
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
In this paper, we present a comparative evaluation of two speech and noise estimation methods commonly used with nonlinear hearing devices: the coherence function used for spectra...