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Found 5 papers, 1 papers with code
Probing the Information Theoretical Roots of Spatial Dependence Measures
Intuitively, there is a relation between measures of spatial dependence and information theoretical measures of entropy.
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
A wide range of (multivariate) temporal (1D) and spatial (2D) data analysis tasks, such as grouping vehicle sensor trajectories, can be formulated as clustering with given metric constraints.
A Ground Segmentation Method Based on Point Cloud Map for Unstructured Roads
Unstructured road scenes represented by open-pit mines have irregular boundary lines and uneven road surfaces, which lead to segmentation errors in current ground segmentation methods.
Offset-Guided Attention Network for Room-Level Aware Floor Plan Segmentation
Recognition of floor plans has been a challenging and popular task.
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space
Hyperbolic embeddings are a class of representation learning methods that offer competitive performances when data can be abstracted as a tree-like graph.
