We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
—In next generation wireless networks, not only wide area cells to provide moderate data rate with full mobility but also local area cells to support high data rate with local mo...
To improve upon the initial disparity estimates stemming from a local correspondence method, a subsequent refinement step is commonly employed. The performance of the stereo match...
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF...