Journal: IEEE Transactions on Signal Processing

Volume 45, Issue 11

2637 -- 2638Anthony G. Constantinides, Simon Haykin, Yu Hen Hu, Jenq-Neng Hwang, Shigeru Katagiri, Sun-Yuan Kung, Tomaso Poggio. Guest Editors' Introduction: Neural Networks For Signal Processing
2639 -- 2654Sei-Wang Chen, Chi-Farn Chen, Meng-Seng Chen, Shen Cherng, Chiung-Yao Fang, Kuo-En Chang. Neural-fuzzy classification for segmentation of remotely sensed images
2655 -- 2662Hideyuki Watanabe, Tsuyoshi Yamaguchi, Shigeru Katagiri. Discriminative metric design for robust pattern recognition
2663 -- 2672Marc M. Van Hulle. Nonparametric regression analysis achieved with topographic maps developed in combination with projection pursuit learning: an application to density estimation and adaptive filtering of grey-scale images
2673 -- 2681Mike Schuster, Kuldip K. Paliwal. Bidirectional recurrent neural networks
2682 -- 2691Johan A. K. Suykens, Joos Vandewalle, Bart De Moor. q theory: checking and imposing stability of recurrent neural networks for nonlinear modeling
2692 -- 2700Shun-ichi Amari, Jean-François Cardoso. Blind source separation-semiparametric statistical approach
2701 -- 2708I-Jong Lin, Sun-Yuan Kung. Coding and comparison of DAG's as a novel neural structure with applications to on-line handwriting recognition
2709 -- 2718Vinay P. Kumar, Elias S. Manolakos. Unsupervised statistical neural networks for model-based object recognition
2719 -- 2730Tsung-Nan Lin, C. Lee Giles, Bill G. Horne, Sun-Yuan Kung. A delay damage model selection algorithm for NARX neural networks
2731 -- 2739Raffaele Parisi, Elio D. Di Claudio, Gianni Orlandi, Bhaskar D. Rao. Fast adaptive digital equalization by recurrent neural networks
2740 -- 2748Alex L. McIlraith, Howard C. Card. Birdsong recognition using backpropagation and multivariate statistics
2749 -- 2757Daniel T. Davis, Jenq-Neng Hwang. Solving inverse problems by Bayesian neural network iterative inversion with ground truth incorporation
2758 -- 2765Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso Poggio, Vladimir Vapnik. Comparing support vector machines with Gaussian kernels to radial basis function classifiers
2766 -- 2773Saman K. Halgamuge. Self-evolving neural networks for rule-based data processing
2774 -- 2786Simon Haykin, Paul Yee, Eric Derbez. Optimum nonlinear filtering
2787 -- 2798Lane M. D. Owsley, Les E. Atlas, Gary D. Bernard. Self-organizing feature maps and hidden Markov models for machine-tool monitoring
2799 -- 2810Denis Bonnet, Veronique Labouisse, Alain Grumbach. δ-NARMA neural networks: a new approach to signal prediction
2811 -- 2820Ajit V. Rao, David J. Miller 0001, Kenneth Rose, Allen Gersho. Mixture of experts regression modeling by deterministic annealing
2821 -- 2828A. Murray, J. Penman. Extracting useful higher order features for condition monitoring using artificial neural networks
2829 -- 2842Scott C. Douglas, Andrzej Cichocki. Neural networks for blind decorrelation of signals
2843 -- 2846Isaac Engel, Neil J. Bershad. Statistical convergence analysis of Rosenblatt's perceptron algorithm as a DS-spread spectrum detector
2846 -- 2851Prashant P. Gandhi, Viswanath Ramamurti. Neural networks for signal detection in non-Gaussian noise
2851 -- 2858Sunghwan Ong, Cheolwoo You, Sooyong Choi, Daesik Hong. A decision feedback recurrent neural equalizer as an infinite impulse response filter
2858 -- 2864Yao Liang, Edward W. Page. Multiresolution learning paradigm and signal prediction
2864 -- 2870Eric I. Chang, Richard P. Lippmann. High-performance low-complexity wordspotting using neural networks