Statistical Shape Model using PCA on standard 2D hand dataset
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Updated
Jul 20, 2020 - Python
Statistical Shape Model using PCA on standard 2D hand dataset
Statistical analysis of 2D shapes based on "Generalized Procrustes Analysis" (Gower, J.C.) and "Active Shape Models - Their Training and Application" (Cootes et al.)
CID Documentation Development Repo
English-Sinhala multilingual word embedding alignment resources
A user-friendly toolkit for engineers and researchers to address the problem of aligning measurements from gyroscopes mounted on the same rigid body.
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.
Methods for the analyses described in Álvarez-Carretero et al. 2019 (https://doi.org/10.1093/sysbio/syz015)
The impact of different representations in the presence of language drift.
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