Matineh Shaker

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 3

Top Topics

Subject Specific

High Dimensional

Reinforcement Learning

Top Venues

Medical Image Anal.

J. Signal Process. Syst.

Publications

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)
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 (2017)
Aditya Gudimella, Ross Story, Matineh Shaker, Ruofan Kong, Matthew Brown, Victor Shnayder, Marcos Campos
Deep Reinforcement Learning for Dexterous Manipulation with Concept Networks. CoRR (2017)
Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix
Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. MLSP (2015)
Matineh Shaker, M. Devrim Kaba, Deniz Erdogmus
Manifold unwrapping using critical surfaces. MLSP (2015)
Matineh Shaker, Jonas Nordhaug Myhre, Deniz Erdogmus
Computationally Efficient Exact Calculation of Kernel Density Derivatives. J. Signal Process. Syst. 81 (3) (2015)
Matineh Shaker, Jonas Nordhaug Myhre, M. Devrim Kaba, Deniz Erdogmus
Invertible nonlinear cluster unwrapping. MLSP (2014)