16 citations · 59 across the 25 of their papers we have counts for
4 papers · 1 filter
Regularized Wasserstein Means for Aligning Distributional Data
Liang Mi, Wen Zhang, Yalin Wang
We propose to align distributional data from the perspective of Wasserstein means. We raise the problem of regularizing Wasserstein means and propose several terms tailored to tack…
Brain Morphometry Analysis with Surface Foliation Theory
Chengfeng Wen, Na Lei, Ming Ma +4
Brain morphometry study plays a fundamental role in neuroimaging research. In this work, we propose a novel method for brain surface morphometry analysis based on surface foliation…
Variational Wasserstein Clustering
Liang Mi, Wen Zhang, Xianfeng Gu +1
We propose a new clustering method based on optimal transportation. We solve optimal transportation with variational principles, and investigate the use of power diagrams as transp…
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices
Jie Zhang, Xiaolong Wang, Dawei Li +1
Recurrent neural networks (RNNs) achieve cutting-edge performance on a variety of problems. However, due to their high computational and memory demands, deploying RNNs on resource…