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- Manolis C. Tsakiris, RenÃ© Vidal
- 2015 IEEE International Conference on Computerâ€¦
- 2015

We consider the problem of outlier rejection in single subspace learning. Classical approaches work directly with a low-dimensional representation of the subspace. Our approach works with a dualâ€¦ (More)

- Manolis C. Tsakiris, Patrick A. Naylor
- 2009 16th International Conference on Digitalâ€¦
- 2009

This paper exploits the displacement structure of the coefficient matrix of the linear system of equations pertinent to the Affine Projection Algorithm (APA), to obtain the exact solution in a wayâ€¦ (More)

- Manolis C. Tsakiris, RenÃ© Vidal
- 2015 IEEE International Conference on Computerâ€¦
- 2015

Algebraic Subspace Clustering (ASC) is a simple and elegant method based on polynomial fitting and differentiation for clustering noiseless data drawn from an arbitrary union of subspaces. Inâ€¦ (More)

- Manolis C. Tsakiris, RenÃ© Vidal
- 2014 48th Asilomar Conference on Signals, Systemsâ€¦
- 2014

Subspace clustering is the problem of clustering data drawn from a union of linear subspaces. Prior algebraic-geometric approaches to this problem required the subspaces to be of equal dimension, orâ€¦ (More)

- Manolis C. Tsakiris, Cassio G. Lopes
- 2009 IEEE International Symposium on Circuits andâ€¦
- 2009

In this paper we propose a robust affine projection algorithm (APA) which enforces the control of the regularization parameter based on the feedback of the condition number (CN) of the matrixâ€¦ (More)

- Manolis C. Tsakiris, René Vidal
- IEEE Transactions on Pattern Analysis and Machineâ€¦
- 2018

Subspace clustering is an important problem in machine learning with many applications in computer vision and pattern recognition. Prior work has studied this problem using algebraic, iterative,â€¦ (More)

- Manolis C. Tsakiris, Cassio G. Lopes, Vitor H. Nascimento
- IEEE Signal Processing Letters
- 2010

We present a novel array RLS algorithm with forgetting factor that circumvents the problem of fading regularization, inherent to the standard exponentially-weighted RLS, by allowing for time-varyingâ€¦ (More)

- Manolis C. Tsakiris, Danielle C. Tarraf
- 2012 IEEE 51st IEEE Conference on Decision andâ€¦
- 2012

We consider finite horizon dynamic programming problems where the dynamics are linear over a finite dimensional state-space and where the cost function depends only on the state. Starting from aâ€¦ (More)

- Manolis C. Tsakiris, Danielle C. Tarraf
- 2012 50th Annual Allerton Conference onâ€¦
- 2012

We consider finite horizon dynamic programming problems with linear dynamics over a finite dimensional, but otherwise arbitrary, state-space. For the case where the cost function is a function onlyâ€¦ (More)

- Manolis C. Tsakiris, RenÃ© Vidal
- SIAM J. Imaging Sciences
- 2017

Subspace clustering is the problem of clustering data that lie close to a union of linear subspaces. Existing algebraic subspace clustering methods are based on fitting the data with an algebraicâ€¦ (More)