We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
We address the problem of restoration of images obtained through a scattering medium. We present an efficient quasimaximum likelihood blind deconvolution approach based on the fas...
Michael M. Bronstein, Alexander M. Bronstein, Yeho...
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted ...
We present a numerical experimentation of the global optimization algorithm presented by Velázquez et. al. [3] applied to a nonlinear hyperboloid least squares problem. This prob...
—In this paper, we present an algorithm for finding a good Ashenhurst decomposition of a switching function. Most current methods for performing this type of decomposition are ba...