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SparseVFC: Sparse Vector Field Consensus for Vector Field Learning

The 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>.

Version: 0.1.2 Depends: R (≥ 4.1.0) Imports: pdist, purrr Suggests: ggplot2, dplyr, tibble, rmarkdown, grid, knitr Published: 2023-11-09 DOI: 10.32614/CRAN.package.SparseVFC Author: Jingmeng Cui [aut, cre] Maintainer: Jingmeng Cui <jingmeng.cui at outlook.com> BugReports: https://github.com/Sciurus365/SparseVFC/issues License: GPL (≥ 3) URL: https://github.com/Sciurus365/SparseVFC NeedsCompilation: no Materials: README NEWS CRAN checks: SparseVFC results Documentation: Reference manual: SparseVFC.pdf Vignettes: demo (source, R code)
Downloads: Package source: SparseVFC_0.1.2.tar.gz Windows binaries: r-devel: SparseVFC_0.1.2.zip, r-release: SparseVFC_0.1.2.zip, r-oldrel: SparseVFC_0.1.2.zip macOS binaries: r-release (arm64): SparseVFC_0.1.2.tgz, r-oldrel (arm64): SparseVFC_0.1.2.tgz, r-release (x86_64): SparseVFC_0.1.2.tgz, r-oldrel (x86_64): SparseVFC_0.1.2.tgz Old sources: SparseVFC archive Reverse dependencies: Reverse imports: fitlandr Linking:

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