10 citations · 13 across the 5 of their papers we have counts for
5 papers
Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency-Interpolation Tradeoff
Vincent Pisztora, Yanglan Ou, Xiaolei Huang +2
In this paper we propose -Consistent Mixup (mu). mu is a data-based structural regularization technique that combines Mixup's linear interpolation with consistency regular…
Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network
Yanglan Ou, Yuan Xue, Ye Yuan +4
Cervical cancer is the second most prevalent cancer affecting women today. As the early detection of cervical carcinoma relies heavily upon screening and pre-clinical testing, digi…
Deep Variable-Block Chain with Adaptive Variable Selection
Lixiang Zhang, Lin Lin, Jia Li
The architectures of deep neural networks (DNN) rely heavily on the underlying grid structure of variables, for instance, the lattice of pixels in an image. For general high dimens…
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters
Lei Yang, Jia Li, Defeng Sun +1
We consider the problem of computing a Wasserstein barycenter for a set of discrete probability distributions with finite supports, which finds many applications in areas such as s…
Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces
Mu Qiao, Jia Li
We investigate a Gaussian mixture model (GMM) with component means constrained in a pre-selected subspace. Applications to classification and clustering are explored. An EM-type es…