Rendered from
demo.Rmdusingknitr::rmarkdownThe sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013 <doi:10.1016/j.patcog.2013.05.017>) for robust vector field learning. Largely translated from the Matlab functions in <https://github.com/jiayi-ma/VFC>.
Authors:Jingmeng Cui [aut, cre]
SparseVFC_0.1.2.tar.gz
SparseVFC_0.1.2.zip(r-4.7)SparseVFC_0.1.2.zip(r-4.6)SparseVFC_0.1.2.zip(r-4.5)
SparseVFC_0.1.2.tgz(r-4.6-any)SparseVFC_0.1.2.tgz(r-4.5-any)
SparseVFC_0.1.2.tar.gz(r-4.7-any)SparseVFC_0.1.2.tar.gz(r-4.6-any)
SparseVFC_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SparseVFC/json (API)
| # Install 'SparseVFC' in R: |
| install.packages('SparseVFC', repos = c('https://sciurus365.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sciurus365/sparsevfc/issues
4.18 score 1 stars 1 packages 4 scripts 273 downloads 2 exports 8 dependencies
Last updated from:51535198eb. Checks:9 OK. Indexed: yes.
| Help page | Topics |
|---|---|
| The Church Photos | church |
| Normalize (a matrix of) vectors | norm_vecs |
| Predict method for VFC fits | predict.VFC |
| Sparse Vector Field Consensus | SparseVFC |
