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A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
Generalized linear regressions, such as logistic regressions or Poisson regressions, are long-studied regression analysis approaches, and their applications are widely employed in various classification problems.
Building Footprint Extraction in Dense Areas using Super Resolution and Frame Field Learning
Despite notable results on standard aerial datasets, current state-of-the-arts fail to produce accurate building footprints in dense areas due to challenging properties posed by these areas and limited data availability.
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