6 citations · 11 across the 8 of their papers we have counts for
6 papers
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation
Tianyu Ding, Jinxin Zhou, Tianyi Chen +3
Existing angle-based contour descriptors suffer from lossy representation for non-starconvex shapes. By and large, this is the result of the shape being registered with a single gl…
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang, Jinxin Zhou, Peng Wang +4
Neural collapse provides an elegant mathematical characterization of learned last layer representations (a.k.a. features) and classifier weights in deep classification models. Such…
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
Can Yaras, Peng Wang, Wei Hu +3
Over the past few years, an extensively studied phenomenon in training deep networks is the implicit bias of gradient descent towards parsimonious solutions. In this work, we inves…
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization
Xiao Li, Zhihui Zhu, Qiuwei Li +1
The symmetric Nonnegative Matrix Factorization (NMF), a special but important class of the general NMF, has found numerous applications in data analysis such as various clustering…
Quantum state tomography with tensor train cross approximation
Alexander Lidiak, Casey Jameson, Zhen Qin +4
It has been recently shown that a state generated by a one-dimensional noisy quantum computer is well approximated by a matrix product operator with a finite bond dimension indepen…
On the Asymptotic Equivalence of Circulant and Toeplitz Matrices
Zhihui Zhu, Michael B. Wakin
Any sequence of uniformly bounded Hermitian Toeplitz matrices is asymptotically equivalent to a certain sequence of circulant matrice…