Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...
Faculty of Engineering and Environment, University of Northumbria, Newcastle upon Tyne, U.K. Zhiwei Gao (Fellow, IEEE) received the B.Eng. degree in industrial automation and the M.Eng. and Ph.D.
Jocelyn Chanussot (Fellow, IEEE) received the M.Sc. degree in electrical engineering from the Grenoble Institute of Technology (Grenoble INP), Grenoble, France, in 1995, and the Ph.D. degree from the ...
Abstract: Multi-View Stereo: A Tutorial presents a hands-on view of the field of multi-view stereo with a focus on practical algorithms. Multi-view stereo algorithms are able to construct highly ...
Abstract: This popular series of tutorials, featured over a period of years in the Journal of Electronic Defense, is now available in a single volume. Organized into chapters with new introductory and ...
Abstract: Two machine-learning procedures have been investigated in some detail using the game of checkers. Enough work has been done to verify the fact that a computer can be programmed so that it ...
Abstract: The error compensation and suppression effects of traditional ultrawideband (UWB) ranging in non Line of Sight (NLOS) environments are limited. The ...
Abstract: Particle therapy verification using induced prompt gamma radiation is a field of active research. We employ an iterative reconstruction algorithm to reconstruct the spatiotemporal emission ...
Abstract: Fine-grained ship detection (FGSD) refers to identify and localize different ships in optical remote sensing images, which is utilized in both civilian and military areas widely.
Book Abstract: This advanced text and reference covers the design and implementation of integrated circuits for analog-to-digital and digital-to-analog conversion. It begins with basic concepts and ...
Book Abstract: The first systematic presentation of electricity market design-from the basics to the cutting edge. Unique in its breadth and depth. Using examples and focusing on fundamentals, it ...
Abstract: Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging ...