Sparse Graph Attention Networks, Yang Ye, Shihao Ji On Self-Distilling Graph Neural Network, Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang Learning Robust Node Representations on Graphs, Xu Chen, Ya Zhang, Ivor Tsang, and Yuangang Pan Recurrent Event Network: ...
For the relatively high contrast reflection sequences often found in non-destructive testing applications, semi-sparse deconvolution algorithms will typically yield better results than the classical Wiener filter solution. However, this requires a prototype that is a good representative for all echo ...
A semi-structured question guide for use in the study was developed using the 14 domains of the TDF [39], in order to identify the barriers to and enablers of PA among university staff and students. The questions were carefully developed using pertinent literature [18], through an iterative ...
How many semi-supervised learning methods are there?Many. Some often-used methods include: EM with generative mixture models, self-training, consistency regularization, co-training, transductive support vector machines, and graph-based methods. And with the advent of deep learning, the majority of ...
In this work, we are concerned with the structure of sparse semigroups and some applications of them to Weierstrass points. We manage to describe, classify and find an upper bound for the genus of sparse semigroups. We also study the realization of some sparse semigroups as Weierstrass ...
positive semi-definite (PSD) and symmetric. However, in the string-based context that we are considering in this paper, this condition is often not satisfied. Indeed, it has been proven that most string similarity functions based on the edit distance are not PSD. To overcome this drawback, ...
Preconditioned iterative solvers are considered to be one of the most promising methods for solving large and sparse linear systems. It has been shown in the literature that their impact can be fairly easily extended to semi-separable systems or even larger classes build on semi-separable ideas. ...
R. Saigal, “A homotopy for solving large, sparse and structured fixed point problems”,Mathematics of Operations Research 8 (1983) 557–578. Article MATH MathSciNet Google Scholar A.J.J. Talman, “Variable dimension fixed point algorithms and triangulations,” Mathematical Centre Tracts, 128 ...
Wei and Levoy, Fast Texture Synthesis using Tree-structured Vector Quantization, SIGGRAPH 2000 Its a really simple algorithm The idea here is that this is an old problem and there are a lot of algorithms that has already solved it but simple algorithms doesn't work well on complex textures!
Li N, Keller B, Butler M, Cer D (2020) SeqGenSQL--A robust sequence generation model for structured query language. arXiv preprint arXiv:2011.03836 Li C, Awan AA, Tang H, Rajbhandari S, He Y (2021) 1-bit LAMB: communication efficient large-scale large-batch training with LAMB’s con...