Búsqueda avanzada

PAUL ANTONIO RODRIGUEZ VALDERRAMA

PAUL ANTONIO RODRIGUEZ VALDERRAMA

PAUL ANTONIO RODRIGUEZ VALDERRAMA

Doctor of Philosophy, UNIVERSITY OF NEW MEXICO

Ver todos los grados

Master of Science Electrical Engineering (UNIVERSITY OF NEW MEXICO)

Ingeniero Electrónico
DOCENTE ORDINARIO - PRINCIPAL
Tiempo parcial por asignaturas (TPA)
Departamento Académico de Ingeniería - Sección Electricidad y Electrónica

Publicaciones

Se encontraron 102 publicaciones

RODRIGUEZ, P. A. y Wohlberg, B.(2017). An Incremental Principal Component Pursuit Algorithm via Projections onto the l1-Ball. En IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON). (pp. 1 - 4). IEEE. Recuperado de: https://doi.org/10.1109/INTERCON.2017.8079645
RODRIGUEZ, P. A.; Rodriguez, P.; Wohlberg, B.(2007). An Iteratively Reweighted Norm Algorithm for Minimization of Total Variation Functionals. Volumen: 14. (pp. 948 - 951).
RODRIGUEZ, P. A. y Wohlberg, B.(2009). An l1 -TV algorithm for deconvolution with salt and pepper noise. En IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. 1257 - 1260). IEEE SPS. Recuperado de: http://dx.doi.org/10.1109/ICASSP.2009.4959819
Hu, Y.; Howells, G.; Ragot, N.; RODRIGUEZ, P. A.(2016). An online background subtraction algorithm deployed on a NAO humanoid robot based monitoring system. Robotics and Autonomous Systems. Volumen: 85. (pp. 37 - 47). Recuperado de: http://www.sciencedirect.com/science/article/pii/S0921889015300361
Hu, Y.; Sirlantiz, K.; Howells, G.; Ragot, N.; RODRIGUEZ, P. A.(2015). An online background subtraction algorithm using a contiguously weighted linear regression model. En Signal Processing Conference (EUSIPCO), 2015 23rd European . (pp. 1845 - 1849). IEEE. Recuperado de: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7362703
Pilastre, B.; Silva, G.; RODRIGUEZ, P. A.; Tourneret, J.(2020). Anomaly Detection in Mixed Time-Series Using A Convolutional Sparse Representation with Application to Spacecraft Health Monitoring. En IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (pp. 3242 - 3246). IEEE. Recuperado de: https://doi.org/10.1109/ICASSP40776.2020.9053929
CASTAÑEDA, B.; ORMACHEA, J.; RODRIGUEZ, P. A.; parker, K.(2013). Application of Numerical Methods to Elasticity Imaging. Journal of Molecular AND Cellular Biomechanics. Volumen: 10. (pp. 43 - 65). Recuperado de: http://www.ncbi.nlm.nih.gov/pubmed/24010245
RODRIGUEZ, P. A.(2023). Assessment of a Two-step Integration Method as an Optimizer for Deep Learning. European Signal Processing Conference.