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ORCIDPaul Rodríguez 0001
Person information
- affiliation: Pontifical Catholic University of Peru, Department of Electrical Engineering, Lima, Peru
- affiliation (PhD 2005): University of New Mexico, Albuquerque, NM, USA
Other persons with the same name
- Paul Rodríguez — disambiguation page
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2020 – today
- 2023
[c56]Paul Rodríguez
:
Assessment of a Two-Step Integration Method as an Optimizer for Deep Learning. EUSIPCO 2023: 1245-1249- [c55]Paul Rodríguez:
Improving the Stochastic Gradient Descent's Test Accuracy by Manipulating the ℓ∞ Norm of its Gradient Approximation. ICASSP 2023: 1-5 - [c54]Hector Chahuara, Paul Rodríguez:
Enhancing safe screening rules with adaptive thresholding for non-overlapping group sparse norm regularized problems. DSP 2023: 1-5 - 2022
- [c53]Paul Rodríguez:
Random Generated Dictionaries for Convolutional Sparse Coding: An ELM Interpretation for Simple CSC Applications. ICIP 2022: 126-130 - 2021
- [c52]Gustavo Silva, Paul Rodríguez:
Robustifying stability of the Fast iterative shrinkage thresholding algorithm for $\ell_{1}$ regularized problems. EUSIPCO 2021: 2064-2068 - 2020
- [c51]Paul Rodríguez:
Robustifying FISTA via the infinity norm of its smooth component's gradient. ACSSC 2020: 341-342 - [c50]Barbara Pilastre, Gustavo Silva, Loïc Boussouf, Stéphane D'Escrivan, Paul Rodríguez, Jean-Yves Tourneret:
Anomaly Detection in Mixed Time-Series Using A Convolutional Sparse Representation With Application To Spacecraft Health Monitoring. ICASSP 2020: 3242-3246 - [i2]Gustavo Silva, Paul Rodríguez:
Efficient Consensus Model based on Proximal Gradient Method applied to Convolutional Sparse Problems. CoRR abs/2011.10100 (2020)
2010 – 2019
- 2019
- [j10]Gustavo Chau, Paul Rodríguez:
Panning and Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling. J. Electr. Comput. Eng. 2019: 7675805:1-7675805:15 (2019) - [j9]Gustavo Chau, Brendt Wohlberg, Paul Rodríguez:
Efficient Projection onto the ℓ∞, 1 Mixed-Norm Ball Using a Newton Root Search Method. SIAM J. Imaging Sci. 12(1): 604-623 (2019) - [c49]Gustavo Silva, Paul Rodríguez:
Generalized Combinatorial Approach Using Single Filter Basis for Convolutional Sparse Modeling. CAMSAP 2019: 435-439 - [c48]Gustavo Silva, Paul Rodríguez:
FISTA: achieving a rate of convergence proportional to k-3 for small/medium values of k. EUSIPCO 2019: 1-5 - [c47]Gustavo Silva, Jorge Quesada, Paul Rodríguez:
Hyper-Parameter Selection on Convolutional Dictionary Learning Through Local ℓ0, ∞ Norm. EUSIPCO 2019: 1-5 - 2018
- [j8]Thierry Bouwmans, Namrata Vaswani, Paul Rodríguez, René Vidal, Zhouchen Lin:
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications. IEEE J. Sel. Top. Signal Process. 12(6): 1127-1130 (2018) - [c46]Jorge Quesada, Paul Rodríguez, Brendt Wohlberg:
Separable Dictionary Learning for Convolutional Sparse Coding via Split Updates. ICASSP 2018: 4094-4098 - [c45]Gustavo Silva, Paul Rodríguez:
Efficient Convolutional Dictionary Learning Using Partial Update Fast Iterative Shrinkage-Thresholding Algorithm. ICASSP 2018: 4674-4678 - [c44]Gustavo Chau, Brendt Wohlberg, Paul Rodríguez:
Fast Projection onto the 𝓁∞, 1-Mixed Norm Ball Using Steffensen Root Search. ICASSP 2018: 4694-4698 - [c43]Gustavo Silva, Paul Rodríguez:
Efficient Algorithm for Convolutional Dictionary Learning via Accelerated Proximal Gradient Consensus. ICIP 2018: 3978-3982 - [c42]Paul Rodríguez:
Accelerated Gradient Descent Method for Projections onto the ℓ1-Ball. IVMSP 2018: 1-5 - [c41]Paul Rodríguez:
Improved Solution to the ℓ0 Regularized Optimization Problem via Dictionary-Reduced Initial Guess. IVMSP 2018: 1-5 - [c40]Paul Rodríguez:
Regularization Parameter-Free Convolutional Sparse Coding via Projections Onto The ℓ1-Ball and The Discrepancy Principle. MLSP 2018: 1-6 - [c39]Gustavo Silva, Jorge Quesada, Paul Rodríguez:
Efficient separable filter estimation using Rank-1 Convolutional Dictionary Learning. MLSP 2018: 1-6 - 2017
- [c38]Paul Rodríguez:
A two-term penalty function for inverse problems with sparsity constrains. EUSIPCO 2017: 2126-2130 - [c37]Enrique D. Tejada, Paul A. Rodríguez:
Moving object detection in videos using principal component pursuit and convolutional neural networks. GlobalSIP 2017: 793-797 - [c36]Gustavo Silva, Jorge Quesada, Paul Rodríguez, Brendt Wohlberg:
Fast convolutional sparse coding with separable filters. ICASSP 2017: 6035-6039 - [c35]Paul Rodríguez, Gustavo Chau:
Panning and Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling. ICCV Workshops 2017: 1844-1852 - [c34]Paul Rodríguez:
An accelerated newton's method for projections onto the ℓ1-ball. MLSP 2017: 1-6 - [i1]Brendt Wohlberg, Paul Rodríguez:
Convolutional Sparse Coding: Boundary Handling Revisited. CoRR abs/1707.06718 (2017) - 2016
- [j7]Paul Rodríguez, Brendt Wohlberg:
Incremental Principal Component Pursuit for Video Background Modeling. J. Math. Imaging Vis. 55(1): 1-18 (2016) - [j6]Yang Hu, Konstantinos Sirlantzis, Gareth Howells, Nicolas Ragot, Paul Rodríguez:
An online background subtraction algorithm deployed on a NAO humanoid robot based monitoring system. Robotics Auton. Syst. 85: 37-47 (2016) - [c33]Paul Rodríguez:
Alternating optimization low-rank expansion algorithm to estimate a linear combination of separable filters to approximate 2D filter banks. ACSSC 2016: 954-958 - [c32]Paul Rodríguez, Brendt Wohlberg:
Ghosting suppression for incremental principal component pursuit algorithms. GlobalSIP 2016: 197-201 - [c31]Jorge Quesada, Paul Rodríguez:
Automatic vehicle counting method based on principal component pursuit background modeling. ICIP 2016: 3822-3826 - 2015
- [c30]Gustavo Silva, Paul Rodríguez:
Jitter invariant incremental principal component pursuit for video background modeling on the TK1. ACSSC 2015: 1403-1407 - [c29]Yang Hu, Konstantinos Sirlantzis, Gareth Howells, Nicolas Ragot, Paul Rodríguez:
An online background subtraction algorithm using a contiguously weighted linear regression model. EUSIPCO 2015: 1845-1849 - [c28]Paul Rodríguez, Brendt Wohlberg:
Translational and rotational jitter invariant incremental principal component pursuit for video background modeling. ICIP 2015: 537-541 - [c27]Víctor Murray, Paul Rodríguez, Maria Noriega, Alvaro Dasso, Marios S. Pattichis:
2D amplitude-modulation frequency-modulation - based method for motion estimation. LASCAS 2015: 1-4 - 2014
- [c26]Alvaro Ulloa, Paul Rodríguez, Jingyu Liu, Vince D. Calhoun, Marios S. Pattichis:
A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance images. EMBC 2014: 1477-1480 - [c25]Víctor Murray, Paul Rodríguez, Marios S. Pattichis:
2D instantaneous frequency-based method for motion estimation using total variation. GlobalSIP 2014: 1009-1013 - [c24]Paul Rodríguez, Brendt Wohlberg:
Video background modeling under impulse noise. ICIP 2014: 1041-1045 - [c23]Paul Rodríguez, Brendt Wohlberg:
Performance comparison of iterative reweighting methods for total variation regularization. ICIP 2014: 1758-1762 - [c22]Paul Rodríguez, Brendt Wohlberg:
A Matlab implementation of a fast incremental principal component pursuit algorithm for Video Background Modeling. ICIP 2014: 3414-3416 - [c21]Jaime Reategui, Paul Rodríguez, Nicolas Ragot:
Fast omni-image unwarping using pano-mapping pointers array. ICIP 2014: 5811-5815 - [c20]Pedro Cisneros, Paul Rodríguez:
Practical hand tracking solution by alternating the use of a priori information. LASCAS 2014: 1-4 - 2013
- [j5]Paul A. Rodríguez:
Total Variation Regularization Algorithms for Images Corrupted with Different Noise Models: A Review. J. Electr. Comput. Eng. 2013: 217021:1-217021:18 (2013) - [j4]Ricardo M. Sanchez, Paul A. Rodríguez:
Highly Parallelable Bidimensional Median Filter for Modern Parallel Programming Models. J. Signal Process. Syst. 71(3): 221-235 (2013) - [c19]Julio Reategui, Gonzalo Cucho, Paul Rodríguez, Rocío Callupe, Ericka Madrid:
Handgrip estimation based on total variation denoising filtering for control applications. BIBE 2013: 1-5 - [c18]Daniel Paredes, Paul Rodríguez:
Multi-scale image inpainting with label selection based on local statistics. EUSIPCO 2013: 1-5 - [c17]Paul Rodríguez, Brendt Wohlberg:
Fast principal component pursuit via alternating minimization. ICIP 2013: 69-73 - [c16]Daniel Paredes, Paul Rodríguez, Nicolas Ragot:
Catadioptric omnidirectional image inpainting via a multi-scale approach and image unwrapping. ROSE 2013: 67-72 - 2012
- [c15]Paul Rodríguez, Renán Rojas, Brendt Wohlberg:
MIxed gaussian-impulse noise image restoration via total variation. ICASSP 2012: 1077-1080 - [c14]Ricardo M. Sanchez, Paul A. Rodríguez:
Bidimensional median filter for parallel computing architectures. ICASSP 2012: 1549-1552 - [c13]Paul Rodríguez, Brendt Wohlberg:
A comparison of the computational performance of Iteratively Reweighted Least Squares and alternating minimization algorithms for ℓ1 inverse problems. ICIP 2012: 3069-3072 - [c12]Caterina M. Espejo, Paul Rodríguez:
Computationally inexpensive parallel parking supervisor based on video processing. ITSC 2012: 1300-1305 - 2011
- [c11]Paul Rodríguez:
Noise model discrimination for digital images based on variance-stabilizing transforms and on local statistics: Preliminary results. ACSCC 2011: 728-732 - [c10]Renán Rojas, Paul Rodríguez:
Spatially adaptive Total Variation image denoising under salt and pepper noise. EUSIPCO 2011: 278-282 - [c9]Paul Rodríguez:
Total variation regularization for Poisson vector-valued image restoration with a spatially adaptive regularization parameter selection. ISPA 2011: 402-407 - [c8]Pierre Bourgeois, Paul Rodríguez, Nicolas Ragot:
Omnidirectional catadioptric image unwrapping via total variation regularization. ROSE 2011: 220-225 - 2010
- [j3]Víctor Murray, Paul Rodríguez, Marios S. Pattichis:
Multiscale AM-FM Demodulation and Image Reconstruction Methods With Improved Accuracy. IEEE Trans. Image Process. 19(5): 1138-1152 (2010) - [c7]Paul Rodríguez:
Multiplicative updates algorithm to minimize the generalized total variation functional with a non-negativity constraint. ICIP 2010: 2509-2512
2000 – 2009
- 2009
- [j2]Paul Rodríguez, Brendt Wohlberg:
Efficient Minimization Method for a Generalized Total Variation Functional. IEEE Trans. Image Process. 18(2): 322-332 (2009) - [c6]Brendt Wohlberg, Paul Rodríguez:
AN l1-TV algorithm for deconvolution with salt and pepper noise. ICASSP 2009: 1257-1260 - [c5]Paul Rodríguez, Brendt Wohlberg:
A generalized vector-valued total variation algorithm. ICIP 2009: 1309-1312 - 2007
- [j1]Brendt Wohlberg, Paul Rodríguez:
An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals. IEEE Signal Process. Lett. 14(12): 948-951 (2007) - [c4]Víctor Murray, Paul Rodríguez V., Marios S. Pattichis:
Robust Multiscale AM-FM Demodulation of Digital Images. ICIP (1) 2007: 465-468 - 2005
- [c3]Paul Rodríguez V., Marios S. Pattichis:
New algorithms for fast and accurate AM-FM demodulation of digital images. ICIP (2) 2005: 1294-1297 - 2002
- [c2]Paul Rodríguez V.:
A radix-2 FFT algorithm for Modern Single Instruction Multiple Data (SIMD) architectures. ICASSP 2002: 3220-3223 - [c1]Paul Rodríguez V., Marios S. Pattichis, Ramiro Jordan:
Computational SIMD framework: split-radix SIMD-FFT algorithm, derivation, implementation and performance. DSP 2002: 861-864
Coauthor Index
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