Fang Z. Peng (Fellow, IEEE) received the B.S. degree in electrical engineering from Wuhan University, Wuhan, China, in 1983, and the M.S. and Ph.D. degrees in electrical engineering from Nagaoka ...

Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past ...

Thoroughly revised and expanded, this second edition of the popular reference addresses the many important advances that have taken place in the field since the publication of the first edition and ...

Internet Of Things,Deep Learning,Unmanned Aerial Vehicles,Learning Algorithms,Deep Reinforcement Learning,Edge Computing,Neural Network,Internet Of Things Devices ...

Abstract: This chapter introduces a new concept of robust adaptive dynamic programming (RADP), a natural extension of ADP to uncertain dynamic systems. It presents an online learning strategy for the ...

Lucien Breems (S’97–M’00–SM’07) received the M.Sc. degree (cum laude) and Ph.D. degree in electrical engineering from Delft University of Technology, Delft, The Netherlands, in 1996 and 2001, ...

Numerical Simulations,Ground Penetrating Radar,Imaging Results,Radar Images,Clutter Suppression,Electromagnetic Wave,Neural Network,Target Echo,Echo Data,Echo Signal ...

Abstract: The author was led to the study given in this paper from a consideration of large scale computing machines in which a large number of operations must be ...

Abstract: Maxwell's equations are replaced by a set of finite difference equations. It is shown that if one chooses the field points appropriately, the set of finite difference equations is applicable ...

Abstract: In this monograph, the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models ...

Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...

Abstract: Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of ...