Herbert Wertheim College of Engineering
Vemuri Lab
Led by Baba C. Vemuri · Computer and Information Science and Engineering
What we study
The lab studies computer vision and medical imaging, focusing on analyzing brain scans and developing algorithms for face recognition and tracking. They use mathematical models and statistical methods to process images and signals.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Probabilistic Nested Homogeneous Spaces for Dimensionality Reduction.
2026 · PubMed Central
Introduces a probabilistic version of NHS for reducing dimensions of manifold data.
- Kernel Stein Discrepancy on Lie Groups: Theory and Applications
2024 · IEEE Transactions on Information Theory
Develops a method for approximating distributions on Lie groups.
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- Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
2023 · PubMed
Proposes a new classifier using horospherical boundaries for hyperbolic data.
- Nested Grassmannians for Dimensionality Reduction with Applications
2022 · The Journal of Machine Learning for Biomedical Imaging
Builds a framework for nested Grassmannians to reduce dimensions of data.
- An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices
2022 · Journal of the American Statistical Association
Creates shrinkage estimators for Log-Normal distributions on symmetric matrices.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Baba C. Vemuri hasn't set up this page yet. Their UF Scholars profile lists their publications.