Showing 4 of total 4 results (show query)
jonclayden
mmand:Mathematical Morphology in Any Number of Dimensions
Provides tools for performing mathematical morphology operations, such as erosion and dilation, on data of arbitrary dimensionality. Can also be used for finding connected components, resampling, filtering, smoothing and other image processing-style operations.
Maintained by Jon Clayden. Last updated 1 years ago.
image-processingmorphologyresamplingcppopenmp
37 stars 7.42 score 223 scripts 9 dependents
tsuda16k
sketcher:Pencil Sketch Effect
An implementation of image processing effects that convert a photo into a line drawing image. For details, please refer to Tsuda, H. (2020). sketcher: An R package for converting a photo into a sketch style image. <doi:10.31234/osf.io/svmw5>.
Maintained by Hiroyuki Tsuda. Last updated 4 years ago.
48 stars 4.86 score 7 scripts
sokbae
sketching:Sketching of Data via Random Subspace Embeddings
Construct sketches of data via random subspace embeddings. For more details, see the following papers. Lee, S. and Ng, S. (2022). "Least Squares Estimation Using Sketched Data with Heteroskedastic Errors," Proceedings of the 39th International Conference on Machine Learning (ICML22), 162:12498-12520. Lee, S. and Ng, S. (2020). "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, 12(1): 45–80.
Maintained by Sokbae Lee. Last updated 3 years ago.
heteroskedasticityregressionsubspace-embeddingcpp
7 stars 4.54 score 7 scripts
