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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
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Proceedings - 2016 International Conference on Computational Intelligence and Applications, ICCIA 2016(1)
Proceedings - 2021 6th International Conference on Computational Intelligence and Applications, ICCIA 2021(1)
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scopus(6)
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures
ArticleAbstract: Datasets with thousands of features represent a challenge for many of the existing learning methodsPalabras claves:feature selection, Machine learning, python frameworkAutores:Andrés Mendez-Vazquez, Calderon-Mora A., Garcia-Ramirez I.A., Ortega-Cisneros S., Reyes-Amezcua I.Fuentes:scopusA Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios
ArticleAbstract: The present work, unlike others, does not try to reduce the noise in hyperspectral images to increasPalabras claves:3D convolutional neural network, noisy hyperspectral image, Semantic Segmentation, spectral–spatial feature extraction, Tucker tensor decompositionAutores:Andrés Mendez-Vazquez, Padilla-Zepeda E., Torres-Roman D.Fuentes:scopusFinding Significant Features for Few-Shot Learning Using Dimensionality Reduction
Conference ObjectAbstract: Few-shot learning is a relatively new technique that specializes in problems where we have little amPalabras claves:Few-shot learning, image classification, Metric learningAutores:Andrés Mendez-Vazquez, Garcia I., Gonzalez-Zapata J., Mendez-Ruiz M., Ochoa-Ruiz G.Fuentes:scopusDynamic neural networks for text classification
Conference ObjectAbstract: This research proposes an approach for text classification that uses a simple neural network calledPalabras claves:component, neural network, Short Text, Text classificationAutores:Andrés Mendez-Vazquez, Vega L.Fuentes:scopusGuided Deep Metric Learning
Conference ObjectAbstract: Deep Metric Learning (DML) methods have been proven relevant for visual similarity learning. HoweverPalabras claves:Autores:Andrés Mendez-Vazquez, Flores-Araiza D., Gonzalez-Zapata J., Mendez-Ruiz M., Ochoa-Ruiz G., Reyes-Amezcua I.Fuentes:scopusMaterial Classification Using Non-supervised Segmentation and Transfer Learning
Conference ObjectAbstract: This work presents a new way of classifying materials within a scene. In this work, we propose a wayPalabras claves:Computer Vision, IMAGE PROCESSING, Machine learning, Transfer learningAutores:Alvarez-Gonzalez R., Andrés Mendez-Vazquez, Pena-Llamas L.R.Fuentes:scopus