Comments (2)
Hi Alex! Thanks for your interest in proxTV. I must admit I have not been giving maintenance to this library for more than a year now. Since then I have moved on from Total Variation to other research topics. I did some research into second-order TV some years ago, but did not come down to write an implementation for proxTV.
I'm afraid I won't have time to add this feature, but if you want to try developing it yourself I would suggest to start by looking at the C implementations of the other methods, which you can find in the src
folder. I must admit the code is not easy to follow, as efficiency is a priority over clarity.
If you are able to implement a C function for second order taut-string, the following steps should be adding a Python interface (here) and some tests to make sure the implementation works (here). If you prefer Matlab instead, the interface functions can be found in the matlab
folder.
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Hi Alex,
I would recommend you the check a recent paper
Multivariate Trend Filtering for Lattice Data
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Related Issues (20)
- maximum relevant lambda for tv1_1d
- Python demos images not rendering correctly
- Weighted loss function HOT 4
- Missing docs for lapack pre-requisites HOT 1
- Missing docs for demos dependencies HOT 1
- pls help me in resolving this HOT 2
- Control reaches end of non-void function HOT 1
- Tag 3.2.2 HOT 1
- Precompiled distributions HOT 1
- For complex variables HOT 1
- Prebundled Windows wheels
- 3.3.0 pypi wheels are not valid manylinux wheels HOT 5
- cannot install on macOS or ubuntu HOT 4
- Documentation clarification; monitoring objective functional along iterations HOT 3
- Weighted Objective of the library?
- Please provide either Py3.8 wheels or a sdist on PyPI
- proxtv installation HOT 3
- Behaviour on Mac HOT 1
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