The requirement for appropriate ways to measure the similarity between data objects is a
common but vital task in various domains, such as data mining, machine learning and so on …

Kernel density visualization (KDV) is a commonly used visualization tool for many spatial
analysis tasks, including disease outbreak detection, crime hotspot detection, and traffic …

The need to develop more efficient network traffic data generation techniques that can
reproduce the intricate features of traffic flows forms a central element in secured monitoring …

Learning-based point cloud completion tasks have shown potential in various critical tasks,
such as object detection, assignment, and registration. However, accurately and efficiently …

As a robust similarity measurement, Earth Mover's Distance (EMD) has been widely adopted
in many real-world applications, such as machine learning, computer vision and natural …

In this paper, we consider the following query problem: given two weighted point sets A and
B in the Euclidean space ℝd, we want to quickly determine that whether their earth mover's …

ABSTRACT Line Density Visualization (LDV) is an important operation of geospatial
analysis, which has been extensively used in many application domains, eg, urban …

요 약최근 기존에 학습된 임베딩 벡터들을 활용하여 문장 사이의 유사도를 측정하는 방법들이
제안되었다. 그 중 단어 이동 거리는 문장에 존재하는 각 단어의 임베딩 벡터들을 상대 문장에 …