32 citations · 116 across the 12 of their papers we have counts for
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stat.ML2017
Efficient, sparse representation of manifold distance matrices for classical scaling
Javier S. Turek, Alexander Huth
Geodesic distance matrices can reveal shape properties that are largely invariant to non-rigid deformations, and thus are often used to analyze and represent 3-D shapes. However, t…
stat.ML2016★ 6 cited
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis
Hejia Zhang, Po-Hsuan Chen, Janice Chen +5
There is a growing interest in joint multi-subject fMRI analysis. The challenge of such analysis comes from inherent anatomical and functional variability across subjects. One appr…
stat.ML2016★ 22 cited
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation
Po-Hsuan Chen, Xia Zhu, Hejia Zhang +5
Finding the most effective way to aggregate multi-subject fMRI data is a long-standing and challenging problem. It is of increasing interest in contemporary fMRI studies of human c…