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Found 3 papers, 2 papers with code
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
We propose VecKM, a novel local point cloud geometry encoder that is descriptive, efficient and robust to noise.
Decodable and Sample Invariant Continuous Object Encoder
In addition, the encoding is decodable, which enables neural networks to regress continuous objects by regressing their encodings.
Gluing Neural Networks Symbolically Through Hyperdimensional Computing
This process can be performed iteratively and even on single neural networks by instead making a consensus of multiple classification hypervectors.
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