1 code implementation • 18 Dec 2023 • Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi
In this paper, we propose a novel graph invariant learning method based on invariant and variant patterns co-mixup strategy, which is capable of jointly generating mixed multiple environments and capturing invariant patterns from the mixed graph data.
Graph Representation Learning Out-of-Distribution Generalization
1 code implementation • 28 Dec 2020 • Heng Liu, Jianyong Liu, Tao Tao, Shudong Hou, Jungong Han
Due to the limitations of sensors, the transmission medium and the intrinsic properties of ultrasound, the quality of ultrasound imaging is always not ideal, especially its low spatial resolution.
no code implementations • 3 Jun 2013 • Jun He, Dejiao Zhang, Laura Balzano, Tao Tao
t-GRASTA iteratively performs incremental gradient descent constrained to the Grassmann manifold of subspaces in order to simultaneously estimate a decomposition of a collection of images into a low-rank subspace, a sparse part of occlusions and foreground objects, and a transformation such as rotation or translation of the image.