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Found 4 papers, 1 papers with code
Deep Semantic Graph Matching for Large-scale Outdoor Point Clouds Registration
The adjacent points with the same category labels are then clustered together using the Euclidean clustering algorithm to obtain the semantic instances, which are represented by three kinds of attributes including spatial location information, semantic categorical information, and global geometric shape information.
Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks
Deep neural networks (DNNs) have become increasingly popular and achieved outstanding performance in predictive tasks.
False Discovery Rate Control via Data Splitting
Selecting relevant features associated with a given response variable is an important issue in many scientific fields.
Methodology
The Wang-Landau Algorithm as Stochastic Optimization and Its Acceleration
The optimization formulation provides us a new way to establish the convergence rate of the Wang-Landau algorithm, by exploiting the fact that almost surely, the density estimates (on the logarithmic scale) remain in a compact set, upon which the objective function is strongly convex.
