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Hi!
I've been looking for a piece of software like yours for a while and I am simply delighted I came across your repo. I am trying to obtain rotational invariants for protein surfaces. I have succ…
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Your SCM implementation is very effient and good mostly but I think it miss the ROTATION invariance property. The rotation invariance and scale invariant is important properties in most application. …
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Wafer Map Defect Pattern Recognition Using Rotation-Invariant Features - Rui Wang and Nan Chen
[원본](https://github.com/2020-iuc-sw-skku/LSC-Systems/files/4930099/wang2019.pdf) / [요약본](https://driv…
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### Feature type
- [X] Add new functionality
- [ ] Change existing functionality
### General description of the proposed functionality
There are features measured during morphological profiling t…
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Hi @charlesq34,
I have gone through the paper and it is mentioned that the Spatial Transformer Network is introduced to make the point cloud invariant to Geometric Transformations.
I would like …
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WIP.
Probably derived from https://www.idosi.org/mejsr/mejsr24(4)16/75.pdf
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I have been tinkering around to find a rotation invariant representation for the shapes, and so far it seems that I have found one for at least 2D. I am now trying to extend this to 3D.
My idea was…
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My attempt to represent the shapes in a rotation invariant way is inspired by [Local Binary Patterns (LBP)](https://en.wikipedia.org/wiki/Local_binary_patterns).
LBP is used in machine vision to ex…
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Rotationally invariant operators are typically represented by `ModalInterlace` which combines matrices acting only on Fourier modes into a diagonal-block-banded matrix (that is, block banded matrix wi…
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I'd like to incorporate the network ideas you've devised, especially the rotation invariant coordinate system, into other models, but I'm running into state dictionary mismatches, does this mean I mus…