Abstract: In this article, we propose a minimum simplex convolutional network (MiSiCNet) for deep hyperspectral unmixing. Unlike all the deep learning-based unmixing methods proposed in the literature ...
HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad ...
Solow teaches the use of quantitative methods such as statistics and modeling for use in decision making to Weatherhead's MBA, master's and PhD students. Solow uses mathematical models, analysis and ...
A new Ph.D. program in the physics department designed for students who want to be at the forefront of cosmic discovery, data science and interdisciplinary research. The Mellon College of Science is ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Article Views are the COUNTER-compliant sum of full text article downloads since ...
Abstract: This article is devoted to some results of research on improving the multiparameter multiextremal optimization algorithm in proposed author”s evolutionary algorithm version Simplex Evolution ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results