We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Abstract Image processing, specifically Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) imagery, is an application area that can require tremendous processing ...
Ruth Sivilotti, Young Cho, Wen-King Su, Danny Cohe...
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Abstract—We develop and evaluate a new method for estimating and optimizing various performance metrics for multihop wireless networks, including MANETs. We introduce an approxim...
John S. Baras, Vahid Tabatabaee, George Papageorgi...
The problem of identifying approximately duplicate objects in databases is an essential step for the information integration process. Most existing approaches have relied on gener...