Monami Banerjee

According to our database1, Monami Banerjee authored at least 15 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2019
A geometric framework for ensemble average propagator reconstruction from diffusion MRI.
Medical Image Anal., 2019

DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Statistical Recurrent Models on Manifold valued Data.
CoRR, 2018

H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces.
CoRR, 2018

Dictionary Learning and Sparse Coding on Statistical Manifolds.
CoRR, 2018

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Statistics on the space of trajectories for longitudinal data analysis.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging.
Proceedings of the Information Processing in Medical Imaging, 2017

Sparse Exact PGA on Riemannian Manifolds.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR).
IEEE Trans. Knowl. Data Eng., 2015

Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Interpolation on the Manifold of K Component GMMs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Feature selection with SVD entropy: Some modification and extension.
Inf. Sci., 2014


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