Llamas, J.[Jose]
* 2016: Applying Deep Learning Techniques to Cultural Heritage Images Within the INCEPTION Project
* 2019: Towards The Automatic 3d Parametrization of Non-planar Surfaces From Point Clouds in HBIM Applications
Includes: Llamas, J.[Jose] Llamas, J.
Llamas, J.M.[Jose M.]
* 2004: Parameter estimation in Bayesian reconstruction of SPECT images: An aid in nuclear medicine diagnosis
Includes: Llamas, J.M.[Jose M.] Llamas, J.M.[José M.]
Llamas, R.M.[Ricardo M.]
* 2011: Generation of 250m MODIS LAI time series by temporal regression
* 2020: Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression
* 2022: Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework
Llamazares Llamazares, A.
* 2012: Extended Floating Car Data System: Experimental Results and Application for a Hybrid Route Level of Service
Includes: Llamazares Llamazares, A. Llamazares Llamazares, Á.
Llamocca, D.[Daniel]
* 2010: Real-time dynamically reconfigurable 2-D filterbanks
* 2013: Dynamically Reconfigurable Pixel Processor System Based on Power/Energy-Performance-Accuracy Optimization, A
* 2014: Fast Discrete Periodic Radon Transform for prime sized images: Algorithm, architecture, and VLSI/FPGA implementation, The
* 2014: scalable architecture for implementing the fast discrete periodic radon transform for prime sized images, A
* 2014: unified and pipelined hardware architecture for implementing intra prediction in HEVC, A
* 2016: Fast and Scalable Computation of the Forward and Inverse Discrete Periodic Radon Transform
* 2017: Fast 2D Convolutions and Cross-Correlations Using Scalable Architectures
* 2018: Fast and Parallel Computation of the Discrete Periodic Radon Transform on GPUs, Multicore CPUs and FPGAs
* 2020: Fast and Scalable 2D Convolutions and Cross-correlations for Processing Image Databases and Videos on CPUs
Includes: Llamocca, D.[Daniel] Llamocca, D.
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