Mostrando 4 resultados de: 4
Subtipo de publicación
Conference Object(4)
Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops(1)
Área temáticas
Funcionamiento de bibliotecas y archivos(2)
Métodos informáticos especiales(2)
Bioquímica(1)
Ciencia militar(1)
Ciencias de la computación(1)
Objetivos de Desarrollo Sostenible
ODS 17: Alianzas para lograr los objetivos(4)
ODS 9: Industria, innovación e infraestructura(4)
ODS 4: Educación de calidad(3)
ODS 3: Salud y bienestar(1)
Origen
scopus(4)
Guided 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: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:scopusMACFE: A Meta-learning and Causality Based Feature Engineering Framework
Conference ObjectAbstract: Feature engineering has become one of the most important steps to improving model prediction performPalabras claves:Automated feature engineering, Automated machine learning, Causal feature selectionAutores:Andrés Mendez-Vazquez, Flores-Araiza D., Ochoa-Ruiz G., Reyes-Amezcua I., Rodriguez-Tello E.Fuentes:scopusOn the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification
Conference ObjectAbstract: Deep learning has shown great promise in diverse areas of computer vision, such as image classificatPalabras claves:Computer Vision, deep learning, Kidney stonesAutores:Andrés Mendez-Vazquez, Daul C., El-Beze J., Flores-Araiza D., Gonzalez-Mendoza M., Hubert J., Lopez-Tiro F., Mendez-Ruiz M., Ochoa-Ruiz G.Fuentes:scopus