30 citations · 30 across the 1 of their papers we have counts for
3 papers
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation
Christoph Angermann, Markus Haltmeier, Ruth Steiger +2
Convolutional neural networks are state-of-the-art for various segmentation tasks. While for 2D images these networks are also computationally efficient, 3D convolutions have huge…
Analysis of regularized Nyström subsampling for regression functions of low smoothness
Shuai Lu, Peter Mathé, Sergiy Pereverzyev
This paper studies a Nyström type subsampling approach to large kernel learning methods in the misspecified case, where the target function is not assumed to belong to the reproduc…
Galaxy And Mass Assembly: Automatic Morphological Classification of Galaxies Using Statistical Learning
Sreevarsha Sreejith, Sergiy Pereverzyev, Lee S. Kelvin +15
We apply four statistical learning methods to a sample of galaxies () from the Galaxy and Mass Assembly (GAMA) survey to test the feasibility of using automated algo…