Density peaks clustering using geodesic distances
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-017-0648-x
Abstract: Density peaks clustering (DPC) algorithm is a novel clustering algorithm based on density. It needs neither iterative process nor more parameters. However, it cannot effectively group data with arbitrary shapes, or multi-manifold structures. To handle… read more here.
Keywords: using geodesic; density; peaks clustering; geodesic distances ... See more keywords
Geodesic Distances in Probabilistic Spaces for Patch-Based Ultrasound Image Processing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2866705
Abstract: Many recent ultrasound image processing methods are based on patch comparison, such as filtering and segmentation. Identifying similar patches in noise-corrupted images is a key factor for the performance of these methods. While the Euclidean… read more here.
Keywords: probabilistic spaces; image; geodesic distances; patch based ... See more keywords
Geodesic Distance Computation via Virtual Source Propagation
Sign Up to like & getrecommendations! Published in 2021 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14371
Abstract: We present a highly practical, efficient, and versatile approach for computing approximate geodesic distances. The method is designed to operate on triangle meshes and a set of point sources on the surface. We also show… read more here.
Keywords: propagation; computation via; geodesic distance; source ... See more keywords