Data complexity analysis quantifies the hardness of constructing a predi...
The log-structured merge tree (LSM-tree) is widely employed to build
key...
In the research field of few-shot learning, the main difference between
...
In this paper, we introduce a large Multi-Attribute and Language Search
...
Non-stationary multi-armed bandit (NS-MAB) problems have recently receiv...
Multimodal magnetic resonance imaging (MRI) can reveal different pattern...
Fire is one of the common disasters in daily life. To achieve fast and
a...
Unmanned Aerial Vehicles (UAVs), specifically drones equipped with remot...
Landslide susceptibility prediction has always been an important and
cha...
In the machine learning domain, research on anomaly detection and
locali...
It is well believed that the higher uncertainty in a word of the caption...
Glass is very common in the real world. Influenced by the uncertainty ab...
Superpixel segmentation has recently seen important progress benefiting ...
We aim to tackle the challenging yet practical scenery image outpainting...
Recently, some approaches are proposed to harness deep convolutional net...
Skin lesion segmentation is a crucial step in the computer-aided diagnos...
The outpainting results produced by existing approaches are often too ra...
Region Proposal Network (RPN) is the cornerstone of two-stage object
det...
Smart systems and the smart world concept are addressed in the framework...
This paper proposes a new type of actuator at millimeter scale, which is...
Relationships, as the bond of isolated entities in images, reflect the
i...
Multi-view point cloud registration is a hot topic in the communities of...
Rheumatoid arthritis clinical trials are strategically designed to colle...