9 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
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…
An Implicit Cover Problem in Wild Population Study
Mary V. Ashley, Tanya Y. Berger-Wolf, Wanpracha Chaovalitwongse +3
In an implicit combinatorial optimization problem, the constraints are not enumerated explicitly but rather stated implicitly through equations, other constraints or auxiliary algo…
On Approximating Four Covering and Packing Problems
Mary Ashley, Tanya Berger-Wolf, Piotr Berman +3
In this paper, we consider approximability issues of the following four problems: triangle packing, full sibling reconstruction, maximum profit coverage and 2-coverage. All of them…