Statistical analysis of 2D shapes based on "Generalized Procrustes Analysis" (Gower, J.C.) and "Active Shape Models - Their Training and Application" (Cootes et al.)
Statistical Shape Model using PCA on standard 2D hand dataset
CID Documentation Development Repo
English-Sinhala multilingual word embedding alignment resources
Methods for the analyses described in Álvarez-Carretero et al. 2019 (https://doi.org/10.1093/sysbio/syz015)
Cross-lingual word embeddings are crucial for various multilingual NLP tasks. This project focuses on aligning monolingual word embeddings from English and Hindi to create a shared cross-lingual embedding space.
A user-friendly toolkit for engineers and researchers to address the problem of aligning measurements from gyroscopes mounted on the same rigid body.
The impact of different representations in the presence of language drift.
Add a description, image, and links to the procrustes-alignment topic page so that developers can more easily learn about it.
To associate your repository with the procrustes-alignment topic, visit your repo's landing page and select "manage topics."