Machine learning methods for data association in multi-object tracking
Data association is a key step within the multi-object tracking pipeline that is notoriously
challenging due to its combinatorial nature. A popular and general way to formulate data …
challenging due to its combinatorial nature. A popular and general way to formulate data …
A survey of motion-based multitarget tracking methods
C Qiu, Z Zhang, H Lu, H Luo - Progress In Electromagnetics Research B, 2015 - jpier.org
Multitarget tracking (MTT) in surveillance system is extremely challenging, due to uncertain
data association, maneuverable target motion, dense clutter disturbance, and real-time …
data association, maneuverable target motion, dense clutter disturbance, and real-time …
Detecting critical node structures on graphs: A mathematical programming approach
We consider the problem of detecting a collection of critical node structures of a graph
whose deletion results in the maximum deterioration of the graph's connectivity. The …
whose deletion results in the maximum deterioration of the graph's connectivity. The …
Multiple Hungarian Method for k-Assignment Problem
The k-assignment problem (or, the k-matching problem) on k-partite graphs is an NP-hard
problem for k≥ 3. In this paper we introduce five new heuristics. Two algorithms, B m and C …
problem for k≥ 3. In this paper we introduce five new heuristics. Two algorithms, B m and C …
Multi-dimensional assignment model and its algorithm for multi-features decision-making problems
This paper proposes the multi-dimensional assignment model to address complex decision
problems involving multi-agent features, multi-stages, resources, constraints, and more …
problems involving multi-agent features, multi-stages, resources, constraints, and more …
Computational Framework for Target Tracking Information Fusion Problems
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 …
information from diverse data sources collected by multiple sensors in a variety of formats …
Designing connected and compact nature reserves
A Billionnet - Environmental Modeling & Assessment, 2016 - Springer
It is generally accepted that for many species, the ability to get around a reserve promotes
their long-term persistence. Here, we measure the ease with which species can move by two …
their long-term persistence. Here, we measure the ease with which species can move by two …
QuIP: Experimental design for expensive simulators with many Qualitative factors via Integer Programming
YC Liu, S Mak - arxiv preprint arxiv:2501.14616, 2025 - arxiv.org
The need to explore and/or optimize expensive simulators with many qualitative factors
arises in broad scientific and engineering problems. Our motivating application lies in path …
arises in broad scientific and engineering problems. Our motivating application lies in path …
A dual approach to multi-dimensional assignment problems
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 …
dimensional assignment problems to solve the more general multidimensional assignment …
Efficient sensor network management for asset localization
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 …
with a wide area of applicability ranging from network surveillance to search and rescue …