In this work, we propose computationally tractable techniques for extracting valuable
information from diverse data sources collected by multiple sensors in a variety of formats …

We consider a variant of the multidimensional assignment problem (MAP) with
decomposable costs in which the resulting optimal assignment is described as a set of …

In this paper, we extend the purely dual formulation that we recently proposed for the three-
dimensional assignment problems to solve the more general multidimensional assignment …

Asset localization represents an important application over wireless sensor networks (WSN)
with a wide area of applicability ranging from network surveillance to search and rescue …

Multipartite entity resolution aims at integrating records from multiple datasets into one entity.
We derive a mathematical formulation for a general class of record linkage problems in …

In this paper, we propose a novel convex dual approach to the three dimensional
assignment problem, which is an NP-hard binary programming problem. It is shown that the …

In this paper, we describe a GPU-accelerated parallel algorithm for the axial
Multidimensional Assignment Problem with Decomposable Costs (MDADC), which is one of …

The objectives of this research are (i) to develop a model for managing staff assignments in
an institution that organizes various events oftraining; and (ii) to propose a method for …

A problem of staff assignment in an organization with multiple assignments of scheduled
events is addressed here. The objective is to propose an efficient and practical approach for …

Multidimensional assignment problem (MAP) is one of the many formulations of data
association problem which categorizes data based on various data sources. A higher …