This paper studies the problem of traffic flow forecasting, which aims t...
With the development of blockchain technology, smart contracts have beco...
Diffeomorphic registration has become a powerful approach for seeking a
...
Although graph neural networks (GNNs) have achieved impressive achieveme...
In this paper, we investigate the challenge of spatio-temporal video
pre...
This work investigates conditions for quantitative image reconstruction ...
Legal case retrieval, which aims to find relevant cases for a query case...
The decentralized and privacy-preserving nature of federated learning (F...
Healthcare IoMT systems are becoming intelligent, miniaturized, and more...
Face clustering is a promising way to scale up face recognition systems ...
Collaborative filtering (CF) plays a critical role in the development of...
Sparse Matrix-Vector Multiplication (SpMV) is a critical operation for t...
Overfitting is a common problem in machine learning, which means the mod...
Non-local attention module has been proven to be crucial for image
resto...
Recommender systems provide essential web services by learning users'
pe...
Finding a suitable density function is essential for density-based clust...
Nowadays, E-commerce is increasingly integrated into our daily lives.
Me...
With the increasing scale and diversification of interaction behaviors i...
Hashing has been widely used in approximate nearest neighbor search for ...
Recently, people tried to use a few anomalies for video anomaly detectio...
Recently, some contrastive learning methods have been proposed to
simult...
We propose a variational model with diffeomorphic optimal transportation...
Recently, hashing is widely-used in approximate nearest neighbor search ...
In recent years, the prosperity of deep learning has revolutionized the
...
Recently, many unsupervised deep learning methods have been proposed to ...
The X-ray transform models a forward projection operator of image format...
We propose a new variational model for joint image reconstruction and mo...
The paper adapts the large deformation diffeomorphic metric mapping fram...