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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(9)
Neural Processing Letters(4)
Proceedings of the International Joint Conference on Neural Networks(4)
Expert Systems with Applications(2)
IEEE Transactions on Neural Networks and Learning Systems(2)
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Ciencias de la computación(17)
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Assessment of geometric features for individual identification and verification in biometric hand systems
ArticleAbstract: This paper studies the reliability of geometric features for the identification of users based on haPalabras claves:Genetic Algorithms, Geometric features, Hand biometrics, User identificationAutores:Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Watson T.Fuentes:scopusBregman divergences for growing hierarchical self-organizing networks
ArticleAbstract: Growing hierarchical self-organizing models are characterized by the flexibility of their structure,Palabras claves:Bregman divergences, classification, self organization, VisualizationAutores:Domínguez E., Esteban José Palomo, López-Rubio E.Fuentes:scopusA New Self-Organizing Neural Gas Model based on Bregman Divergences
Conference ObjectAbstract: In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman NeurPalabras claves:Autores:Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusA 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:scopusA competitive neural network for multiple object tracking in video sequence analysis
Conference ObjectAbstract: Tracking of moving objects in real situation is a challenging research issue, due to dynamic changesPalabras claves:feature selection, Feature weigthing, Genetic Algorithms, Growing competitive neural networks, Multiple object trackingAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusA self-organizing map for traffic flow monitoring
Conference ObjectAbstract: Most of object detection algorithms do not yield perfect foreground segmentation masks. These errorsPalabras claves:object detection, postprocessing techniques, Self-organizing neural networks, Surveillance systems, traffic monitoringAutores:Domínguez E., Esteban José Palomo, Jerez-Aragonés J.M., López-Rubio E., Luque-Baena R.M.Fuentes:scopusA self-organizing map to improve vehicle detection in flow monitoring systems
ArticleAbstract: The obtaining of perfect foreground segmentation masks still remains as a challenging task in videoPalabras claves:object detection, postprocessing techniques, Self-organizing neural networks, Surveillance systems, traffic monitoringAutores:Domínguez E., Esteban José Palomo, Jerez-Aragonés J.M., López-Rubio E., Luque-Baena R.M.Fuentes:scopusContinuous chemical classification in uncontrolled environments with sliding windows
ArticleAbstract: Electronic noses are sensing devices that are able to classify chemical volatiles according to the rPalabras claves:Artificial olfaction, Chemical classification, Chemical sensor array, E-nose, online, Sliding windowAutores:Esteban José Palomo, Gonzalez-Jimenez J., López-Rubio E., Monroy J.G.Fuentes:scopusDeep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
Conference ObjectAbstract: Social conflicts appearing in the media are increasing public awareness about security issues, resulPalabras claves:deep learning, panoramic cameras, Power saving, video surveillanceAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ramos-Jimenez G.Fuentes:scopusDeep learning-based anomalous object detection system powered by microcontroller for PTZ cameras
Conference ObjectAbstract: Automatic video surveillance systems are usually designed to detect anomalous objects being presentPalabras claves:Convolutional neural network, feed forward neural network, foreground detection, PTZ cameraAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopus