3 papers
cs.CV2023
Learning More Discriminative Local Descriptors for Few-shot Learning
Qijun Song, Siyun Zhou, Liwei Xu
Few-shot learning for image classification comes up as a hot topic in computer vision, which aims at fast learning from a limited number of labeled images and generalize over the n…
cs.DS2022
Solving systems of linear equations through zero forcing set and application to lights out
Jianbo Wang, Chao Xu, Siyun Zhou
Let be any field, we consider solving repeatedly for a matrix of non-zero elements, and multiple different …
math.OC2022
Stochastic Gauss-Newton Algorithms for Online PCA
Siyun Zhou, Xin Liu, Liwei Xu
In this paper, we propose a stochastic Gauss-Newton (SGN) algorithm to study the online principal component analysis (OPCA) problem, which is formulated by using the symmetric low-…