output
20082026
most citedFramelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion

185 citations

Showing 2023Show all

6 papers · 1 filter

cs.LG2023★ 116 cited

Federated Continual Learning via Knowledge Fusion: A Survey

Xin Yang, Hao Yu, Xin Gao +3

Data privacy and silos are nontrivial and greatly challenging in many real-world applications. Federated learning is a decentralized approach to training models across multiple loc…

cs.CV2023★ 3 cited

MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept

Asbjørn Munk, Ao Ma, Mads Nielsen

The current state-of-the art techniques for image segmentation are often based on U-Net architectures, a U-shaped encoder-decoder networks with skip connections. Despite the powerf…

cs.LG2023★ 62 cited

Enhanced Latent Multi-view Subspace Clustering

Long Shi, Lei Cao, Jun Wang +1

Latent multi-view subspace clustering has been demonstrated to have desirable clustering performance. However, the original latent representation method vertically concatenates the…

stat.ME2023★ 10 cited

Ensemble methods for testing a global null

Yaowu Liu, Zhonghua Liu, Xihong Lin

Testing a global null is a canonical problem in statistics and has a wide range of applications. In view of the fact that no uniformly most powerful test exists, prior and/or domai…

cs.CV2023★ 2 cited

P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments

Xujie Kang, Kanglin Liu, Jiang Duan +2

Given a new camera pose in an indoor environment, we study the challenging problem of predicting the view from that pose based on a set of reference RGBD views. Existing exp…

math.NA2023★ 10 cited

A grid-overlay finite difference method for the fractional Laplacian on arbitrary bounded domains

Weizhang Huang, Jinye Shen

A grid-overlay finite difference method is proposed for the numerical approximation of the fractional Laplacian on arbitrary bounded domains. The method uses an unstructured simpli…