In this paper, we study a fundamental problem in submodular optimization...
Machine learning algorithms play an important role in a variety of impor...
Submodular function optimization has numerous applications in machine
le...
Maximizing a submodular function has a wide range of applications in mac...
Polyp segmentation is a crucial step towards computer-aided diagnosis of...
In this paper, we study the adaptive submodular cover problem under the
...
The non-terrestrial networks (NTNs) are recognized as a key component to...
Magnetic Resonance Fingerprinting (MRF) is a novel technique that
simult...
Many sequential decision making problems can be formulated as an adaptiv...
Many sequential decision making problems, including pool-based active
le...
In this paper, we study the classic submodular maximization problem subj...
Electronic health records (EHRs) provide a rich repository to track a
pa...
In this letter, an efficient motion planning approach with grid-based
ge...
The goal of a typical adaptive sequential decision making problem is to
...
The idea of social advertising (or social promotion) is to select a grou...
Running machine learning algorithms on large and rapidly growing volumes...
In this paper, we study the problem of maximizing the difference between...
To solve the autonomous navigation problem in complex environments, an
e...
Meta-Learning has gained increasing attention in the machine learning an...
Local planning is one of the key technologies for mobile robots to achie...
Lipreading is an impressive technique and there has been a definite
impr...
In this paper, we propose and study the cascade submodular maximization
...
While a large body of research has formally identified apolipoprotein E
...
In this paper, we study the joint product sequencing and pricing problem...
This study investigates a general variational formulation of fair cluste...
Constrained submodular maximization has been extensively studied in the
...
This study investigates imposing inequality constraints on the outputs o...
In order to obtain a compact line segment-based map representation for
l...
In this paper, we proposed a novel two-stage optimization method for net...
Recently, diagnosis, therapy and monitoring of human diseases involve a
...
Precise segmentation of bladder walls and tumor regions is an essential ...
Recently, dense connections have attracted substantial attention in comp...
Precise 3D segmentation of infant brain tissues is an essential step tow...
Neonatal brain segmentation in magnetic resonance (MR) is a challenging
...
Although topological considerations amongst multiple labels have been
pr...
One issue limiting the adaption of large-scale multi-region segmentation...
The incorporation of region regularization into max-flow segmentation ha...