This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
—The present article discusses and details the methodological approaches and the reconstruction strategies that have been employed to realize the 3D real-time virtual simulations...
In this paper, the problem of joint channel and carrier frequency offset (CFO) estimation is studied in the context of multiple-input multiple-output (MIMO) communications based on...
Shahram Shahbazpanahi, Alex B. Gershman, Georgios ...
We explore the meanings of the terms as "structure," "behavior," and, especially, "function" in engineering practice. Computers provide great help in...