Ignacio Ramirez, Ph.D.

2011 Scientific Computation University of Minnesota, Twin Cities, Minneapolis, MN 
Electronics and Electrical Engineering, Statistics, Computer Science
"Ignacio Ramirez"


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Guillermo Sapiro grad student 2011 UMN
 (Second Generation Sparse Models.)
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Alvarez GDY, Favaro F, Lecumberry F, et al. (2018) Wireless EEG System Achieving High Throughput and Reduced Energy Consumption Through Lossless and Near-Lossless Compression. Ieee Transactions On Biomedical Circuits and Systems. 12: 231-241
Ramirez I. (2018) Binary Matrix Factorization via Dictionary Learning Ieee Journal of Selected Topics in Signal Processing. 12: 1253-1262
Capurro I, Lecumberry F, Martin A, et al. (2016) Efficient sequential compression of multi-channel biomedical signals. Ieee Journal of Biomedical and Health Informatics
Fernández A, Gómez Á, Lecumberry F, et al. (2015) Pattern Recognition in Latin America in the Big Data Era Pattern Recognition. 48: 1185-1196
Ramírez I, Sapiro G. (2012) Universal regularizers for robust sparse coding and modeling. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 21: 3850-64
Ramirez I, Sapiro G. (2012) An MDL framework for sparse coding and dictionary learning Ieee Transactions On Signal Processing. 60: 2913-2927
Motta G, Ordentlich E, Ramírez I, et al. (2011) The iDUDE framework for grayscale image denoising. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 20: 1-21
Sprechmann P, Ramirez I, Sapiro G, et al. (2011) C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework Ieee Transactions On Signal Processing. 59: 4183-4198
Ramirez I, Sprechmann P, Sapiro G. (2010) Classification and clustering via dictionary learning with structured incoherence and shared features Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3501-3508
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