Evolution Strategies (ES) for black-box optimization of a function f : Rn → R are investigated. Namely, we consider the cumulative step-size adaptation (CSA) for the variance of...
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawre...
The goal of this work was to explore the optimization of the feature extraction module (front-end) parameters to improve bird species recognition. We explored optimizing the spect...
Martin Graciarena, Michelle Delplanche, Elizabeth ...