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Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing

 

 

 

 

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Signal reconstruction from sampled data using neural network
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A. Sudou, P. Hartono, R. Saegusa, S. Hashimoto
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Robust classification of subcellular location patterns in fluorescence microscope images
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R.F. Murphy, M. Velliste, G. Porreca
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Independent component analysis for understanding multimedia content
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T. Kolenda, L.K. Hansen, J. Larsen, O. Winther
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Adaptive BP neural network (ABPNN) based PN code acquisition system via recursive accumulator
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Jiang-Yao Chen, Shun-Hsyung Chang, Shao-Wei Leu
#Adaptive systems #Neural networks #Signal to noise ratio #Phase detection #Detectors #Control systems #Training data #Additive white noise #Gaussian noise #Computer simulation
Decision templates for the classification of bioacoustic time series
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C. Dietrich, F. Schwenker, G. Palm
#Biomedical acoustics #Information processing #Data mining #Speech recognition #Signal processing #Speech processing #Recurrent neural networks #Hidden Markov models #Neural networks #Supervised learning
Dynamic Bayesian network based speech recognition with pitch and energy as auxiliary variables
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T.A. Stephenson, J. Escofet, M. Magimai-Doss, H. Bourlard
#Bayesian methods #Speech recognition #Automatic speech recognition #Degradation #Hidden Markov models #Acoustic emission #Artificial intelligence #Humans #Speech enhancement #Network topology
Kernel-based topographic map formation achieved with normalized Gaussian competition
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M.M. Van Hulle
#Kernel #Neurons #Lattices #Entropy #Clustering algorithms #Laboratories #Psychology #Neural networks #Maximum likelihood estimation #Marine vehicles
Analog implementation for networks of integrate-and-fire neurons with adaptive local connectivity
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J. Schreiter, U. Ramacher, A. Heittmann, D. Matolini, R. Schuffny
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Accurate estimation of the signal baseline in DNA chromatograms
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L. Andrade, E.S. Manolakos
#Statistical learning #Bayesian methods #Signal resolution #Signal to noise ratio #Data mining #Digital signal processing #DNA computing #Expectation-maximization algorithms #Iterative methods #Histograms
Modeling of growing networks with communities
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M. Kimura, K. Saito, N. Ueda
#Probability distribution #Tail #Laboratories #Graph theory #Stochastic processes