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Found 4 papers, 1 papers with code
Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems
One category of these is boundary value solvers, which are used to solve real-world problems formulated as differential equations with boundary conditions.
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
In this paper, we present a machine learning-based optimization workflow aimed at improving the homogeneity of spunbond nonwovens.
Survey on Semantic Stereo Matching / Semantic Depth Estimation
Stereo matching is one of the widely used techniques for inferring depth from stereo images owing to its robustness and speed.
Visual Probing and Correction of Object Recognition Models with Interactive user feedback
Applications of such technologies are highly diverse ranging from natural language processing to computer vision.
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