The notions of softwarization and virtualization of the radio access network (RAN) of next-
generation (5G) wireless systems are ushering in a vision where applications and services …

Over the last twenty years, Professor Franco Giannessi, a highly respected researcher, has
been working on an approach to optimization theory based on image space analysis. His …

The efficiency of top-K item recommendation based on implicit feedback are vital to
recommender systems in real world, but it is very challenging due to the lack of negative …

Radio access network (RAN) slicing is a virtualization technology that partitions radio
resources into multiple autonomous virtual networks. Since RAN slicing can be tailored to …

In this paper we address the problem of identifying those functions whose convex envelope
on a polyhedron P coincides with the convex envelope of their restrictions to the vertices of …

Convex envelopes are a very useful tool in global optimization. However finding the exact
convex envelope of a function is a difficult task in general. This task becomes considerably …

This paper studies the problem of learning to hash, which is essentially a mixed integer
optimization problem, containing both the binary hash code output and the (continuous) …

In this paper, a concept of Euclidean combinatorial configuration as a mapping of a set of
certain objects into a point of Euclidean space is introduced. A typology of Euclidean …

Optimal control problems including partial differential equation (PDE) as well as integer
constraints merge the combinatorial difficulties of integer programming and the challenges …

Semi-supervised support vector machines arise in machine learning as a model of mixed
integer programming problem for classification. In this paper, we propose two convex conic …