1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.AP2021★ 1 cited
Boost-S: Gradient Boosted Trees for Spatial Data and Its Application to FDG-PET Imaging Data
Reza Iranzad, Xiao Liu, W. Art Chaovalitwongse +7
Boosting Trees are one of the most successful statistical learning approaches that involve sequentially growing an ensemble of simple regression trees (i.e., "weak learners"). Howe…
cs.CV2019
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification
Phawis Thammasorn, Daniel Hippe, Wanpracha Chaovalitwongse +6
Deep representation learning using triplet network for classification suffers from a lack of theoretical foundation and difficulty in tuning both the network and classifiers for pe…