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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Neurocomputing(2)
Expert Systems with Applications(1)
International Journal of Neural Systems(1)
Physica A: Statistical Mechanics and its Applications(1)
Área de conocimiento
Aprendizaje automático(6)
Ciencias de la computación(6)
Red neuronal artificial(2)
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Capacity and retrieval of a modular set of diluted attractor networks with respect to the global number of neurons
ArticleAbstract: The modularity and hierarchical structures in associative networks can replicate parallel pattern rePalabras claves:Diluted connectivity, Divide-and-conquer approach, Ensembled learning, Hopfield network, Network size, Storage capacityAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusFingerprint Retrieval Using a Specialized Ensemble of Attractor Networks
Conference ObjectAbstract: We tested the performance of the Ensemble of Attractor Neural Networks (EANN) model for fingerprintPalabras claves:Hopfield network, Module specialization, Pattern sparseness, Storage capacity, Synaptic dilutionAutores:Carlos Dávila, Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusIncrease attractor capacity using an ensembled neural network
ArticleAbstract: This work presents an ensemble of Attractor Neural Networks (ANN) modules, that increases the patterPalabras claves:Divide-and-conquer parallelizing, Ensemble of Attractor Neural Networks, Hopfield-type network, Network wiring cost, Storage capacity, Synaptic dilutionAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusEnsemble of Attractor Networks for 2D Gesture Retrieval
Conference ObjectAbstract: This work presents an Ensemble of Attractor Neural Networks (EANN) model for gesture retrieval. 2D sPalabras claves:Gesture encoding, Hopfield network, Offline recognition, Single-stroke gestures, Storage capacity, Synaptic dilutionAutores:Carlos Dávila, Dominguez D., Jorge Luis Pérez Medina, Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:scopusEnsemble of diluted attractor networks with optimized topology for fingerprint retrieval
ArticleAbstract: The present study analyzes the retrieval capacity of an Ensemble of diluted Attractor Neural NetworkPalabras claves:Attractor neural networks, Ensemble of diluted modules, Fingerprint retrieval, Information performance metrics, Module input optimization, Module specialization, Structured patternsAutores:Dominguez D., Mario González-Rodríguez, Rodr F.B., Sanchez A.Fuentes:googlescopusRetrieval of noisy fingerprint patterns using metric attractor networks
ArticleAbstract: This work experimentally analyzes the learning and retrieval capabilities of the diluted metric attrPalabras claves:Attractor network, Fingerprint retrieval, Metric connectivity, small-world, Sparse-coding, Threshold dynamicsAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusLearning sequences of sparse correlated patterns using small-world attractor neural networks: An application to traffic videos
ArticleAbstract: The goal of this work is to learn and retrieve a sequence of highly correlated patterns using a HopfPalabras claves:Attractor network, Correlated patterns, small-world, Sparse-coding, Temporal sequence, Traffic analysis, Video retrievalAutores:Dominguez D., Mario González-Rodríguez, Sanchez A.Fuentes:googlescopusStructured patterns retrieval using a metric attractor network: Application to fingerprint recognition
ArticleAbstract: The ability of a metric attractor neural networks (MANN) to learn structured patterns is analyzed. IPalabras claves:Attractor network, Fingerprint retrieval, Neurodynamics, small-world, Structured patternsAutores:Dominguez D., Doria F.F., Erichsen R., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopus