Llanes, J.[Jesus]
* 2009: New Segmentation Approach for Old Fractured Pieces, A
Llanez Caballero, I.E.[Ignacio E.]
* 2022: Fixed-Frame Positive-Sequence Extractor: An Alternative to the MAF-Based Park-Filter, A
Includes: Llanez Caballero, I.E.[Ignacio E.] Llanez-Caballero, I.E.[Ignacio E.]
Llano, D.A.[Daniel A.]
* 2022: Curvelet Transform-Based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy
* 2023: Localization Free Super-Resolution Microbubble Velocimetry Using a Long Short-Term Memory Neural Network
Llano, E.G.[Eduardo Garea]
* 2006: Comparative Study of Face Representations in the Frequency Domain, A
* 2006: Fast Adaboosting Based Method for Iris and Pupil Contour Detection, A
* 2006: Fast Method for Localization of Local Illumination Variations and Photometric Normalization in Face Images, A
* 2006: Illumination Insensitive Representation for Face Verification in the Frequency Domain, An
* 2007: Method for Segmentation of Local Illumination Variations and Photometric Normalization in Face Images, A
* 2010: Automatic Representation of Semantic Abstraction of Geographical Data by Means of Classification
* 2012: Semantic Representation of Geospatial Objects Using Multiples Knowledge Domains
* 2016: Consensual Iris Segmentation Fusion
8 for Llano, E.G.
Llanos, B.
* 2018: Do-It-Yourself Single Camera 3D Pointer Input Device
* 2020: Simultaneous Demosaicing and Chromatic Aberration Correction through Spectral Reconstruction
Llanos, C.H.
* 2019: Bio-inspired optimization algorithms for real underwater image restoration
* 2021: Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection
Includes: Llanos, C.H. Llanos, C.H.[Carlos Humberto]
Llanza, A.[Arcadi]
* 2015: Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios, A
* 2019: Application Guided Image Quality Estimation Based on Classification
* 2020: Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint
* 2023: Inference Acceleration of Deep Learning Classifiers Based on RNN
Includes: Llanza, A.[Arcadi] Llanza, A.