Mostrando 10 resultados de: 12
Filtros aplicados
Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
IEEE Transactions on Neural Networks and Learning Systems(2)
2016 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2016 - Proceedings(1)
IEEE Transactions on Neural Networks(1)
Information Sciences(1)
Área temáticas
Métodos informáticos especiales(7)
Ciencias de la computación(5)
Programación informática, programas, datos, seguridad(4)
Funcionamiento de bibliotecas y archivos(2)
Área de conocimiento
Ciencias de la computación(9)
Aprendizaje automático(6)
Algoritmo(3)
Red neuronal artificial(3)
Análisis de datos(1)
Origen
scopus(12)
A Novel Continual Learning Approach for Competitive Neural Networks
Conference ObjectAbstract: Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgettinPalabras claves:Competitive neural networks, Continual learning, unsupervised learningAutores:Esteban José Palomo, Fernández-Rodríguez J.D., López-Rubio E., Maza-Quiroga R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusExtended abstract: A color quantization approach based on the Growing Neural Forest
Conference ObjectAbstract: In this work, a novel color quantization approach based on the Growing Neural Forest (GNF) is proposPalabras claves:Color quantization, Self-Organization, Tree-structured model, unsupervised learningAutores:Esteban José Palomo, López-Rubio E.Fuentes:scopusDynamic topology learning with the probabilistic self-organizing graph
ArticleAbstract: Self-organizing neural networks are usually focused on prototype learning, while the topology is helPalabras claves:classification, Image quantization, image segmentation, Self-Organization, unsupervised learning, VisualizationAutores:Carmen Vargas-González M., Esteban José Palomo, López-Rubio E., Miguel Ortiz-de-Lazcano-Lobato J.Fuentes:scopusDynamic tree topology learning by self-organization
ArticleAbstract: The discovery of the underlying topology of real-world data is a difficult task due to the high-dimePalabras claves:Computer Vision, Self-organizing map topologies, Spanning trees, unsupervised learningAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopusGrowing hierarchical probabilistic self-organizing graphs
ArticleAbstract: Since the introduction of the growing hierarchical self-organizing map, much work has been done on sPalabras claves:classification, Hierarchical self-organization, unsupervised learning, Visualization, Web miningAutores:Esteban José Palomo, López-Rubio E.Fuentes:scopusImage Clustering Using a Growing Neural Gas with Forbidden Regions
Conference ObjectAbstract: Clustering is one of the most common applications of unsupervised learning, being present in many stPalabras claves:Forbidden regions, Growing Neural Gas (GNG), unsupervised learning, vector quantizationAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, Ramos A.D.Fuentes:scopusUnsupervised color quantization with the growing neural forest
Conference ObjectAbstract: Image processing has become a very common application for artificial intelligence-based algorithms.Palabras claves:Color quantization, Self-Organization, Tree-structured model, unsupervised learningAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E.Fuentes:scopusUnsupervised learning by cluster quality optimization
ArticleAbstract: Most clustering algorithms are designed to minimize a distortion measure which quantifies how far thPalabras claves:Cluster quality measures, Clustering, K-Means, unsupervised learningAutores:Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E.Fuentes:scopusSelecting the Color Space for Self-Organizing Map Based Foreground Detection in Video
ArticleAbstract: Detecting foreground objects on scenes is a fundamental task in computer vision and the used color sPalabras claves:color space, foreground detection, Probabilistic self-organising maps, unsupervised learning, Video segmentationAutores:Domínguez E., Esteban José Palomo, López-Rubio E., López-Rubio F.J., Luque-Baena R.M.Fuentes:scopusVisualization of complex datasets with the self-organizing spanning tree
Conference ObjectAbstract: Visualization of real world data is a difficult task due to the high-dimensional and the complex strPalabras claves:Self-organizing map topologies, Spanning trees, unsupervised learning, VisualizationAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopus