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2020 – today
- 2020
[c4]Jonas Nordhaug Myhre
, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus:
A generic unfolding algorithm for manifolds estimated by local linear approximations. CVPR Workshops 2020: 3735-3743
2010 – 2019
- 2017
- [j2]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Medical Image Anal. 37: 56-65 (2017) - [i1]Aditya Gudimella, Ross Story, Matineh Shaker, Ruofan Kong, Matthew Brown, Victor Shnayder, Marcos Campos:
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks. CoRR abs/1709.06977 (2017) - 2015
- [j1]Matineh Shaker, Jonas Nordhaug Myhre, Deniz Erdogmus:
Computationally Efficient Exact Calculation of Kernel Density Derivatives. J. Signal Process. Syst. 81(3): 321-332 (2015) - [c3]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. MLSP 2015: 1-6 - [c2]Matineh Shaker, M. Devrim Kaba, Deniz Erdogmus:
Manifold unwrapping using critical surfaces. MLSP 2015: 1-6 - 2014
- [c1]Matineh Shaker, Jonas Nordhaug Myhre, M. Devrim Kaba, Deniz Erdogmus:
Invertible nonlinear cluster unwrapping. MLSP 2014: 1-6
Coauthor Index
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