6 citations · 6 across the 4 of their papers we have counts for
4 papers
Canonical Variates in Wasserstein Metric Space
Jia Li, Lin Lin
In this paper, we address the classification of instances represented by distributions on a vector space rather than single points. We consider classification algorithms based on p…
Mixture of Linear Models Co-supervised by Deep Neural Networks
Beomseok Seo, Lin Lin, Jia Li
Deep neural network (DNN) models have achieved phenomenal success for applications in many domains, ranging from academic research in science and engineering to industry and busine…
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…
Hidden Markov Models on Variable Blocks with a Modal Clustering Algorithm and Applications
Lin Lin, Jia Li
Motivated by high-throughput single-cell cytometry data with applications to vaccine development and immunological research, we consider statistical clustering in large-scale data…