Member Bibliography/Bibliografía de Miembros

This page collects all the personal publications that CienciaPR members have uploaded to their profiles. You can also see all of the authors collected in these publications or all the keywords contained in these publications.

Found 2496 results
Author Title [ Type(Desc)] Year
Conference Paper
J. C. T. Sotelo and Velez-Reyes, M., “An adaptive feedback linearizing controller for a shunt DC motor”, in COMPEL 2002: IEEE WORKSHOP ON COMPUTERS IN POWER ELECTRONICS, PROCEEDINGS, 2002, pp. 144-151.
M. G. V. Marroquin and Cabrera-Rios, M., “An adaptive metamodeling-based method for simulation optimization”, in Simulation Conference, 2007 Winter, 2007, pp. 2379–2379.
S. Rosario-Torres and Velez-Reyes, M., “An algorithm for fully constrained abundance estimation in hyperspectral unmixing”, in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 2005, vol. 5806, pp. 711-719.
Y. M. Masalmah, Velez-Reyes, M., and Rosario-Torres, S., “An algorithm for unsupervised unmixing of hyperspectral imagery using positive matrix factorization”, in Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, 2005, vol. 5806, pp. 703-710.
A. Castrodad-Carrau, Velez-Reyes, M., and Goodman, J. A., “An algorithm to retrieve coastal water optical properties, bathymetry, and bottom albedo from hyperspectral imagery”, in Defense and Security Symposium, 2006, p. 62040H–62040H.
A. Castrodad-Carrau, Velez-Reyes, M., and Goodman, J. A., “An algorithm to retrieve coastal water optical properties, bathymetry, and bottom albedo from hyperspectral imagery”, in PHOTONICS FOR PORT AND HARBOR SECURITY II, 2006, vol. 6204, p. 62040H.
M. Velez-Reyes and Messinger, D., “Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII Introductio n”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXII, 2016, vol. 9840, p. 984001.
M. Velez-Reyes and Kruse, F. A., “Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XX Introduction”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XX, 2014, vol. 9088, p. 908801.
F. O. Gonzalez and Velez-Reyes, M., “Algorithms for nonlinear retrieval problems in atmospheric remote sensing using regularization methods”, in SATELLITE REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE III, 1998, vol. 3495, pp. 110-121.
M. B. Santiago, Vélez, M., Borrero, S., Díaz, A., Guadalupe, A. R., and Colón, J. L., “Amperometric ethanol sensor using (bis(1,10-phenanthroline-5,6-dione)bipyridine)ruthenium(II) - Exchanged zirconium phosphate”, in ACS National Meeting Book of Abstracts, 2004, vol. 227.
D. Nazzal, Johnson, A., Carlo, H. J., and Jimenez, J. A., “An analytical model for conveyor based AMHS in semiconductor wafer fabs”, in Proceedings of the 40th Conference on Winter Simulation, 2008, pp. 2148–2155.
M. C. Torres-Madronero and Velez-Reyes, M., “AN APPROACH FOR UNMIXING OF HYPERSPECTRAL IMAGERY BASED ON SCALE-SPACE REPRESENTATION”, in 2013 5TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2013.
J. S. Friedman, “The Arecibo potassium lidar daylight receiver”, in 23rd International Laser Radar Conference, 2006, pp. 557–560.
M. Velez-Reyes, “Atmospheric retrievals using regularization methods”, in IGARSS `98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, pp. 1403-1407.
S. D. Hunt and Velez-Reyes, M., “Band selection for lossless image compression”, in ALGORITHMS FOR MULTISPECTRAL, HYPERSPECTRAL AND ULTRASPECTRAL IMAGERY VII, 2001, vol. 4381, pp. 76-83.
M. Velez-Reyes, Goodman, J. A., Castrodad-Carrau, A., Jimenez-Rodriguez, L. O., Hunt, S. D., and Armstrong, R., “Benthic habitat mapping using hyperspectral remote sensing”, in REMOTE SENSING OF THE OCEAN, SEA ICE, AND LARGE WATER REGIONS 2006, 2006, vol. 6360, p. UNSP 63600C.
V. Manian and Velez-Reyes, M., “A boosting algorithm for texture classification and object detection”, in Visual Information Processing XIV, 2005, vol. 5817, pp. 25-33.
G. Cliff, Dudley, S. F. J., and Jury, M. R., “Catches of white sharks in KwaZulu-Natal, South Africa and environmental influences”, in GREAT WHITE SHARKS: THE BIOLOGY OF CARCHARODON CARCHARIAS, 525 B STREET, SUITE 1900, SAN DIEGO, CA 92101-4495, 1996, pp. 351-362.
V. Ortiz-Rivera, Velez-Reyes, M., and Roysam, B., “Change detection in hyperspectral imagery using temporal principal components”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XII PTS 1 AND 2, 2006, vol. 6233, p. UNSP 623312.
Y. M. Masalmah, Velez-Reyes, M., and Jimenez-Rodriguez, L. O., “Clutter modeling for subsurface detection in hyperspectral imagery using Markov random fields”, in IMAGING SPECTROMETRY IX, 2003, vol. 5159, pp. 52-63.
M. Torres, Torres, F. Tomei, and Norat, J., “Coal Combustion Residuals in Puerto Rico: Health and Environmental Implications”, 2013.
M. Marin-McGee and Velez-Reyes, M., “Coherence Enhancement Diffusion for Hyperspectral Imagery using a Spectrally Weighted Structure Tensor”, in 2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS), 2016.
J. S. Friedman, Raizada, S., Brum, C., Kerr, C., Mathews, J. D., and Djuth, F. T., “Coincident lidar observations of thermosphere neutral metal layers in Na and K, with simultaneous measurements of electron density with the Incoherent Scatter Radar at Arecibo”, in 12th International Workshop on Layered Phenomena in the Mesopause Region, 2015.
M. A. Goenaga-Jimenez and Velez-Reyes, M., “Comparing Quadtree Region Partitioning Metrics for Hyperspectral Unmixing.”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XIX, 2013, vol. 8743, p. 87430Z.
Y. M. Masalmah and Velez-Reyes, M., “A comparison of algorithms to compute the positive matrix factorization and their application to unsupervised unmixing”, in ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XII PTS 1 AND 2, 2006, vol. 6233, p. UNSP 623326.

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