Mustafa Devrim Kaba

According to our database, Mustafa Devrim Kaba authored at least 12 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization?

Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada

IEEE Trans. Inf. Theory, 2021

A Nullspace Property for Subspace-Preserving Recovery.

Mustafa Devrim Kaba, Chong You, Daniel P. Robinson, Enrique Mallada, René Vidal

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A generic unfolding algorithm for manifolds estimated by local linear approximations.

Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Generalized Nullspace Property for Structurally Sparse Signals.

Mustafa Devrim Kaba, Mengnan Zhao, René Vidal, Daniel P. Robinson, Enrique Mallada

CoRR, 2019

2018

Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance.

Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada

CoRR, 2018

Sparse Recovery over Graph Incidence Matrices.

Mengnan Zhao, M. Devrim Kaba, René Vidal, Daniel P. Robinson, Enrique Mallada

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

A Reinforcement Learning Approach to the View Planning Problem.

Mustafa Devrim Kaba, Mustafa Gökhan Uzunbas, Ser-Nam Lim

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Reinforcement Learning Approach to Sensor Planning for 3D Models.

Mustafa Devrim Kaba, Mustafa Gökhan Uzunbas, Ser-Nam Lim

CoRR, 2016

2015

A Spectral Characterization of Controllability for Linear Discrete-Time Systems with Conic Constraints.

M. Devrim Kaba, M. Kanat Camlibel

SIAM J. Control. Optim., 2015

Manifold unwrapping using critical surfaces.

Matineh Shaker, M. Devrim Kaba, Deniz Erdogmus

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014

Invertible nonlinear cluster unwrapping.

Matineh Shaker, Jonas Nordhaug Myhre, M. Devrim Kaba, Deniz Erdogmus

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Spectral conditions for the reachability of discrete-time conewise linear systems.

M. Devrim Kaba, M. Kanat Camlibel

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014