por comunicacion | Mar 25, 2024 | Publications, Resources
Fuzzy Eigenvector Image Smoothing Method Khleef Almutairi, Samuel Morillas and Pedro Latorre-Carmona. «Fuzzy Inference Systems to Fine-Tune a Local Eigenvector Image Smoothing Method», published in Electronics 2024, 13, 1150. This paper introduces a new method for...
por comunicacion | Nov 27, 2023 | Activity
IMaLeVICS: a new project within VIP Lab In 2020, the Visual Image Processing Laboratory (VIP Lab) was launched with the mission to contribute to a better understanding of how the human visual system perceives digital images. In 2023, this work will continue through...
por comunicacion | Sep 26, 2023 | Activity
IMaLeVICS: New VIPLab project We propose this «Interpretable Machine Learning for Vision, Imaging, and Color Sciences (IMaLeVICS)» project to obtain systems able to solve specific problems in each of the fields and also to analyze what the systems have learned to...
por comunicacion | Jul 4, 2023 | Activity, Publications
«A Fuzzy Logic Inference System for Display Characterization» at IbPRIA 2023 Khleef Almutairi, Samuel Morillas, Pedro Latorre-Carmona and and Makan Dansoko. A Fuzzy Logic Inference System for Display Characterization. Khleef Almutairi, a PhD student in VIPLab under...
por comunicacion | May 9, 2023 | Activity, Publications
IMPROVE 2023 Khleef Almutairi, Samuel Morillas, and Pedro Latorre-Carmona. Fuzzy inference system in a local eigenvector based colour image smoothing framework. Khleef Almutairi, a Ph.D. student in VIPLab under the supervision of doctoral advisor Professor Samuel...
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