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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Implicit biases of optimization algorithms for neural networks and their effects on generalization
神经网络 优化算法 隐式偏差 泛化的影响
2023/4/26
Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
With the rapid advances in sensor ?especially laser scanner ?technology and the development of increasingly more sophisticated
algorithms for the extraction of features from the data sets produced by...
Generalization of Dense Digital Terrain Models While Enhancing Important Objects
Cartography DEM/DTM High resolution
2015/7/7
Laser altimetry is a leading technology for the extraction of information of physical surfaces, and hence it is the main source for
generating a dense digital surface of the terrain. This results in ...
Generalization of 3D Building Data Based on a Scale-Space Approach
Generalization of 3D Building Data
2015/7/6
Generalization of 3D Building Data Based on a Scale-Space Approach.
An Attempt to Automated Generalization of Buildings and Settlement Areas in Topographic Maps
Cartography GIS Generalization
2015/7/6
Generalization of topographic maps is a very challenging problem for map producers. Therefore, NMAs are intensively working on
the matter in order to make it automated as much as possible for their p...
Robustness and Generalization for Metric Learning
Metric learning Algorithmic robustness Generalization bounds
2012/11/23
Metric learning has attracted a lot of interest over the last decade, but little work has been done about the generalization ability of such methods. In this paper, we address this issue by proposing ...