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2020 – today
- 2021
[c13]Lorena Etcheverry, Leopoldo Agorio, Virginia Bacigalupe, Sofía Barreiro, Elena Bing, Samuel Blixen, Daniel Calegari, Lautaro Cardozo, Fernando Carpani, Felipe Chavat, Diego Garat, Alvaro Gómez, Fabián Hernández, Victor Marabotto, Guillermo Moncecchi, Ignacio Ramírez, Aiala Rosá, Jorge Tiscornia, Dina Wonsever, Gregory Randall, Guillermo Zorron, Lia Rivero, Nilo Patiño, Javier Stabile, Ernesto Fernandez, Federico Fioritto, Rodrigo Laguna:
A computational framework for the analysis of the Uruguayan dictatorship archives. Qurator 2021
2010 – 2019
- 2018
- [j8]Ignacio Ramírez
:
Binary Matrix Factorization via Dictionary Learning. IEEE J. Sel. Top. Signal Process. 12(6): 1253-1262 (2018) - [j7]Guillermo Dufort, Federico Favaro, Federico Lecumberry, Alvaro Martín, Juan P. Oliver, Julian Oreggioni, Ignacio Ramírez, Gadiel Seroussi, Leonardo Steinfeld:
Wireless EEG System Achieving High Throughput and Reduced Energy Consumption Through Lossless and Near-Lossless Compression. IEEE Trans. Biomed. Circuits Syst. 12(1): 231-241 (2018) - [i9]Ignacio Ramírez:
Binary Matrix Factorization via Dictionary Learning. CoRR abs/1804.05482 (2018) - 2017
- [j6]Ignacio Capurro, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Eugenio Rovira, Gadiel Seroussi:
Efficient Sequential Compression of Multichannel Biomedical Signals. IEEE J. Biomed. Health Informatics 21(4): 904-916 (2017) - 2016
- [c12]Guillermo Dufort, Federico Favaro, Federico Lecumberry, Alvaro Martín, Juan P. Oliver, Julian Oreggioni, Ignacio Ramírez, Gadiel Seroussi, Leonardo Steinfeld:
Wearable EEG via lossless compression. EMBC 2016: 1995-1998 - [i8]Ignacio Capurro, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Eugenio Rovira, Gadiel Seroussi:
Efficient sequential compression of multi-channel biomedical signals. CoRR abs/1605.04418 (2016) - 2015
- [j5]Alicia Fernández, Alvaro Gómez, Federico Lecumberry, Alvaro Pardo, Ignacio Ramírez:
Pattern Recognition in Latin America in the "Big Data" Era. Pattern Recognit. 48(4): 1185-1196 (2015) - [c11]Ignacio Ramírez:
Interleaved Quantization for Near-Lossless Image Coding. CIARP 2015: 400-407 - [c10]Martín Patrone, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Gadiel Seroussi:
EEG Signal Pre-Processing for the P300 Speller. CIARP 2015: 559-566 - 2014
- [c9]Ignacio Capurro, Federico Lecumberry, Alvaro Martín, Ignacio Ramírez, Eugenio Rovira, Gadiel Seroussi:
Low-complexity, multi-channel, lossless and near-lossless EEG compression. EUSIPCO 2014: 2040-2044 - 2013
- [c8]Ignacio Ramírez, Mariano Tepper:
Bi-clustering via MDL-Based Matrix Factorization. CIARP (1) 2013: 230-237 - 2012
- [j4]Ignacio Ramírez, Guillermo Sapiro:
Universal Regularizers for Robust Sparse Coding and Modeling. IEEE Trans. Image Process. 21(9): 3850-3864 (2012) - [j3]Ignacio Ramírez, Guillermo Sapiro:
An MDL Framework for Sparse Coding and Dictionary Learning. IEEE Trans. Signal Process. 60(6): 2913-2927 (2012) - [c7]Ignacio Ramírez, Guillermo Sapiro:
LOw-rank data modeling via the minimum description length principle. ICASSP 2012: 2165-2168 - [p1]Alexey Castrodad, Ignacio Ramírez, Guillermo Sapiro, Pablo Sprechmann, Guoshen Yu:
Second-generation sparse modeling: structured and collaborative signal analysis. Compressed Sensing 2012: 65-87 - 2011
- [j2]Giovanni Motta, Erik Ordentlich, Ignacio Ramírez, Gadiel Seroussi, Marcelo J. Weinberger:
The iDUDE Framework for Grayscale Image Denoising. IEEE Trans. Image Process. 20(1): 1-21 (2011) - [j1]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework. IEEE Trans. Signal Process. 59(9): 4183-4198 (2011) - [c6]Nathaniel Dean, Alexandra Ilic, Ignacio Ramírez, Jian Shen, Kevin Tian:
On the Power Dominating Sets of Hypercubes. CSE 2011: 488-491 - [c5]Ignacio Ramírez, Guillermo Sapiro:
Sparse coding and dictionary learning based on the MDL principle. ICASSP 2011: 2160-2163 - [c4]Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro:
Collaborative sources identification in mixed signals via hierarchical sparse modeling. ICASSP 2011: 5816-5819 - [i7]Ignacio Ramírez, Guillermo Sapiro:
Low-rank data modeling via the Minimum Description Length principle. CoRR abs/1109.6297 (2011) - [i6]Ignacio Ramírez, Guillermo Sapiro:
An MDL framework for sparse coding and dictionary learning. CoRR abs/1110.2436 (2011) - 2010
- [c3]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
Collaborative hierarchical sparse modeling. CISS 2010: 1-6 - [c2]Ignacio Ramírez, Pablo Sprechmann, Guillermo Sapiro:
Classification and clustering via dictionary learning with structured incoherence and shared features. CVPR 2010: 3501-3508 - [i5]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
Collaborative Hierarchical Sparse Modeling. CoRR abs/1003.0400 (2010) - [i4]Ignacio Ramírez, Guillermo Sapiro:
Universal Sparse Modeling. CoRR abs/1003.2941 (2010) - [i3]Pablo Sprechmann, Ignacio Ramírez, Guillermo Sapiro, Yonina C. Eldar:
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework. CoRR abs/1006.1346 (2010) - [i2]Ignacio Ramírez, Guillermo Sapiro:
Sparse coding and dictionary learning based on the MDL principle. CoRR abs/1010.4751 (2010) - [i1]Pablo Sprechmann, Ignacio Ramírez, Pablo Cancela, Guillermo Sapiro:
Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling. CoRR abs/1010.4893 (2010)
2000 – 2009
- 2005
- [c1]Gadiel Seroussi, Giovanni Motta, Erik Ordentlich, Ignacio Ramírez, Marcelo J. Weinberger:
The DUDE framework for continuous tone image denoising. ICIP (3) 2005: 345-348
Coauthor Index
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