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PAUL ANTONIO RODRIGUEZ VALDERRAMA

PAUL ANTONIO RODRIGUEZ VALDERRAMA

PAUL ANTONIO RODRIGUEZ VALDERRAMA

Doctor of Philosophy, UNIVERSITY OF NEW MEXICO

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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

Tejada, E. y RODRIGUEZ, P. A.(2017). Moving Object detection in videos using Principal Component Pursuit and Convolutional Neural Networks. En IEEE Global Conference on Signal and Information Processing. (pp. 793 - 797). IEEE. Recuperado de: https://doi.org/10.1109/GlobalSIP.2017.8309069
Chau, G. y RODRIGUEZ, P. A.(2017). Panning and Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling. En International Conference on Computer Vision. (pp. 1844 - 1852). IEEE. Recuperado de: http://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.218
Murray, V.; Dasso, A.; RODRIGUEZ, P. A.; Pattichis, M.(2016). A 2D amplitude-modulation frequency-modulation representation for motion estimation. En 2016 IEEE Andescon. (pp. 1 - 4). IEEE. Recuperado de: http://ieeexplore.ieee.org/abstract/document/7836204/?reload=true
RODRIGUEZ, P. A.(2016). Alternating Optimization low-rank expansion algorithm to Estimate a linear combination of separable filters to approximate 2D filter banks. En Asilomar Conference on Signals, Systems, and Computers. (pp. 954 - 958). IEEE. Recuperado de: http://ieeexplore.ieee.org/abstract/document/7869190/
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
Quesada, J. y RODRIGUEZ, P. A.(2016). Automatic vehicle counting method based on principal component pursuit background modeling. En IEEE International Conference on Image Processing. (pp. 3822 - 3826). IEEE. Recuperado de: http://ieeexplore.ieee.org/document/7533075/?arnumber=7533075&tag=1
RODRIGUEZ, P. A. y Wohlberg, B.(2016). Ghosting suppression for incremental principal component pursuit algorithms. En IEEE Global Conference on Signal and Information Processing. (pp. 197 - 201). IEEE.
RODRIGUEZ, P. A. y Wohlberg, B.(2016). Incremental Methods for Robust Local Subspace Estimation. En Handbook of Robust Low-Rank and Sparse Matrix Decomposition. (pp. 284 - 320). CRC Press. Recuperado de: http://dx.doi.org/10.1201/b20190-12