Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
We consider the resource allocation (RA) problem of maximizing the weighted sum of the minimal user rates (WSMR) of coordinated cells subject to a total power constraint at each ba...
This paper presents an efficient implementation of a robust adaptive beamforming algorithm based on convex optimization for applications in the processing-constrained environment...
Eric A. Durant, Ivo Merks, Bill Woods, Jinjun Xiao...
Consider a polyhedron that is triangulated into tetrahedra in two different ways. This paper presents an algorithm, and hints for implementation, for finding the volumes of the i...