Foundations of Multidimensional and Metric Data Structures (The Morgan Kaufmann Series in Computer Graphics and Geometric Modeling)

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OctNetFusion: Learning Depth Fusion from Data (2017, background): “[36] which takes advantage of the sparsity of 3D volumetric models using an octree representation [37], enabling deep learning at resolutions of 256(3) voxels and beyond.”
Effective Proximity Retrieval by Ordering Permutations (2008, background): “In [16], [27], [38], [44] most of those approaches are surveyed and explained in detail.”
A neural algorithm for a fundamental computing problem (2017, methodology): “, 10 or 20 features), then space partitioning methods, such as kd-trees (20), would similarly suffice.”