We propose a dimensionality reducing matrix design based on training data with constraints on its Frobenius norm and number of rows. Our design criteria is aimed at preserving the distances between ...

SAN DIEGO, Jan. 05, 2021 (GLOBE NEWSWIRE) -- GBT Technologies Inc. (OTC PINK: GTCH) ("GBT”, or the “Company”), announced that GBT Tokenize (“GBT/Tokenize) is developing new methods for health analysis ...

A major advance reveals deep connections between the classes of problems that computers can — and can’t — possibly do. At first glance, the big news coming out of this summer’s conference on the ...

The Computational Mechanics and Geometry Laboratory (CMGLab), led by Dr. John A. Evans of the Ann and H.J. Smead Department of Aerospace Engineering Sciences, pioneers new approaches to the modeling, ...

This paper is a companion paper to [Yaron Lipman and Ingrid Daubechies, Conformai Wasserstein distances: Comparing surfaces in polynomial time, Adv. in Math. (ELS), 227 (2011), no. 3, 1047-1077, (2011 ...

In this special guest feature from Scientific Computing World, Dr. James Osborne from HPC Wales writes that distance learning techniques may help train the next generation of computational scientists.