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Miguel Argáez
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- affiliation: University of Texas at El Paso, USA
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2020 – today
- 2022
- [c12]Miguel Argáez
, Osvaldo Mendez, Leticia Velázquez
:
The Notion of the Quasicentral Path in Linear Programming. WEA 2022: 173-184
2010 – 2019
- 2016
- [c11]Miguel Argáez, Horacio Florez, Osvaldo Mendez:
A model reduction for highly non-linear problems using wavelets and the Gauss-Newton method. NAFIPS 2016: 1-7 - [c10]Horacio Florez, Miguel Argáez:
Applications and comparison of model-order reduction methods based on wavelets and POD. NAFIPS 2016: 1-8 - 2015
- [j4]Carlos Ramírez, Miguel Argáez:
An ℓ1 minimization algorithm for non-smooth regularization in image processing. Signal Image Video Process. 9(2): 373-386 (2015) - 2013
- [c9]Reinaldo Sanchez, Christian Servin, Miguel Argáez:
Sparse fuzzy techniques improve machine learning. IFSA/NAFIPS 2013: 531-535 - 2012
- [c8]Pablo Guillén, Miguel Argáez, J. Barrera, Leticia Velázquez, Francisco Javier Martínez de Pisón:
Data mining in the process of localization and classification of subcorticals structures. EATIS 2012: 121-125 - [c7]Carlos Ramírez, Miguel Argáez, Aline Jaimes, Craig E. Tweedie:
Image inpainting in micrometeorological analysis. ICIP 2012: 1725-1728 - 2011
- [j3]Miguel Argáez:
Solving Overdetermined Systems in lp Quasi-Norms. Reliab. Comput. 15(1): 13-25 (2011) - [j2]Miguel Argáez, Leticia Velázquez, Carlos Quintero, Hector Klie, Mary F. Wheeler:
A Hybrid Algorithm for Global Optimization Problems. Reliab. Comput. 15(3): 230-241 (2011) - [c6]Reinaldo Sanchez-Arias, Miguel Argáez, Pablo Guillén:
Sparse representation via ℓ1-minimization for underdetermined systems in classification of tumors with gene expression data. EMBC 2011: 3362-3366 - [c5]Pablo Guillén, Francisco Javier Martínez de Pisón
, Reinaldo Sanchez-Arias, Miguel Argáez, Leticia Velázquez:
Characterization of subcortical structures during deep brain stimulation utilizing support vector machines. EMBC 2011: 7949-7952
2000 – 2009
- 2009
- [j1]Cristiano Jacques Miosso, Ricardo von Borries, Miguel Argáez, Leticia Velázquez, Carlos Quintero, C. M. Potes:
Compressive sensing reconstruction with prior information by iteratively reweighted least-squares. IEEE Trans. Signal Process. 57(6): 2424-2431 (2009) - 2005
- [c4]Leticia Velázquez, Miguel Argáez, Brenda Bueno, Boguslaw Stec:
On a global optimization technique for solving a nonlinear hyperboloid least squares problem. Richard Tapia Celebration of Diversity in Computing Conference 2005: 1-3 - 2004
- [c3]Aldo Lucero, Sergio D. Cabrera, Alberto Aguirre, Miguel Argáez, Edward Vidal Jr.:
Comparison of bit allocation methods for compressing three-dimensional meteorological data after applying KLT. IGARSS 2004: 2514-2517 - 2003
- [c2]Miguel Argáez, Leticia Velázquez:
A new infeasible interior-point algorithm for linear programming. Richard Tapia Celebration of Diversity in Computing Conference 2003: 12-14 - [c1]Miguel Argáez, Leticia Velázquez, Cristina Villalobos:
On the development of a trust region interior-point method for large scale nonlinear programs. Richard Tapia Celebration of Diversity in Computing Conference 2003: 15-17
Coauthor Index
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