3D Geometry,3D Mesh,3D Reconstruction,Amount Of Training Data,Autoregressive Model,Class Labels,Collection Of Parameters,Computer Graphics,Computer Vision,Conditional ...
Multilayer Neural Networks trained with the backpropagation algorithm constitute the best example of a successful Gradient-Based Learning technique. Given an appropriate network architecture, Gradient ...
Book Abstract: Electrical Engineering Wave Propagation and Scattering in Random Media A volume in the IEEE/OUP Series on Electromagnetic Wave Theory Donald G. Dudley, Series Editor This IEEE Classic ...
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically ...
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 ...
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 ...
Hamido Fujita (Life Senior Member, IEEE) received the Ph.D. degree (Hons.) from Óbuda University, Budapest, Hungary, in 2013, and the Ph.D. degree (Hons.) from Timisoara Technical University, ...
Kofi A. A. Makinwa (M'97–SM'05–F'11) received the B.Sc. and M.Sc. degrees from Obafemi Awolowo University, Ife, Nigeria, in 1985 and 1988, respectively, the M.E.E. degree from Philips International ...
Book Abstract: Analyzes the dynamic performance of interconnected power systems. * Examines the characteristics of the various components of a power system during normal operating conditions and ...
Abstract: In this paper a theory of two-dimensional moment invariants for planar geometric figures is presented. A fundamental theorem is established to relate such moment invariants to the well-known ...