no code implementations • 2 Oct 2020 • Zhe Jiang, Marcus Stephen Kirby, Wenchong He, Arpan Man Sainju
The performance of these models heavily relies on high-quality ground truth segment labels.
no code implementations • 25 Aug 2020 • Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan, Haiquan Chen
These methods, however, assume that incomplete feature observations only happen on a small subset of samples, and thus cannot solve problems where the vast majority of samples have missing feature observations.
no code implementations • 25 Aug 2020 • Zhe Jiang, Arpan Man Sainju
In contrast, we recently proposed a novel machine learning model called geographical hidden Markov tree that integrates spectral features of pixels and topographic constraints from Digital Elevation Model (DEM) data (i. e., water flow directions) in a holistic manner.
no code implementations • 25 Aug 2020 • Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan
In contrast, we propose to represent surface topological structure by a contour tree skeleton, which is a polytree capturing the evolution of surface contours at different elevation levels.
no code implementations • 24 May 2018 • Miao Xie, Zhe Jiang, Arpan Man Sainju
Anisotropic spatial dependency is incorporated in the hidden class layer with a reverse tree structure.