Building and Visualising Ordinations of Shape Data in R With Morphospace
Sign Up to like & getrecommendations! Published in 2025 at "Ecology and Evolution"
DOI: 10.1002/ece3.71503
Abstract: ABSTRACT Ordination is a critical step of geometric morphometrics that allows simplification of high‐dimensional shape spaces into low‐dimensional representations summarising shape variation. While this is routinely used to visualise the main patterns of morphometric data,… read more here.
Keywords: shape variation; building visualising; shape data; shape ... See more keywords
Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01337-8
Abstract: Given repeated observations of several subjects over time, i.e. a longitudinal data set, this paper introduces a new model to learn a classification of the shapes progression in an unsupervised setting: we automatically cluster a… read more here.
Keywords: data sets; clustering longitudinal; shape; learning clustering ... See more keywords
SPGC: Shape-Prior-Based Generated Content Data Augmentation for Remote Sensing Object Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3373442
Abstract: While deep learning-based methods have made significant strides in remote sensing applications, the scarcity and inadequate quality of remote sensing images tend to curtail the improvement of follow-up research such as remote sensing object detection.… read more here.
Keywords: stylization; object detection; sensing object; shape data ... See more keywords
Digital Reconstructions Using Linear Regression: How Well Can It Estimate Missing Shape Data from Small Damaged Areas?
Sign Up to like & getrecommendations! Published in 2022 at "Biology"
DOI: 10.3390/biology11121741
Abstract: Simple Summary Paleontologists, anthropologists and forensic scientists work with skeletal evidence that is often damaged or fragmented. Inferring what the original morphology of the bones was like is important for reconstructing fossils or identifying individuals.… read more here.
Keywords: linear regression; missing shape; shape data; method ... See more keywords