Neurocomputing, Volume 71

Volume 71, Numbers 1-3, December 2007

• Nadia Nedjah, Luiza de Macedo Mourelle:
  Dedicated hardware architectures for intelligent systems. 1-2
  
• Kazuki Nakada, Tetsuya Asai, Tetsuya Hirose, Hatsuo Hayashi, Yoshihito Amemiya:
  A subthreshold CMOS circuit for a piecewise linear neuromorphic oscillator with current-mode low-pass filters. 3-12
  
• Liam P. Maguire, T. Martin McGinnity, Brendan P. Glackin, Arfan Ghani, Ammar Belatreche, Jim Harkin:
  Challenges for large-scale implementations of spiking neural networks on FPGAs. 13-29
  
• Fergal Tuffy, L. J. McDaid, Vunfu Wong Kwan, John Alderman, T. Martin McGinnity, Jose A. Santos, Peter M. Kelly, Heather M. Sayers:
  Inter-neuron communication strategies for spiking neural networks. 30-44
  
• Stephan Stilkerich:
  Graph theoretical representation of ANN architectures on regular two-dimensional grids for VLSI implementations. 45-70
  
• Pedro Ferreira, Pedro Ribeiro, Ana Antunes, Fernando Morgado Dias:
  A high bit resolution FPGA implementation of a FNN with a new algorithm for the activation function. 71-77
  
• Jesús Lázaro, Jagoba Arias, Armando Astarloa, Unai Bidarte, Aitzol Zuloaga:
  Hardware architecture for a general regression neural network coprocessor. 78-87
  
• Nadia Nedjah, Luiza de Macedo Mourelle:
  An efficient problem-independent hardware implementation of genetic algorithms. 88-94
  
• Z. Zhu, David J. Mulvaney, Vassilios A. Chouliaras:
  Hardware implementation of a novel genetic algorithm. 95-106
  

• Rodrigo Capobianco Guido, Jose Carlos Pereira, Jan Frans Willem Slaets:
  Advances on neural networks for speech and audio processing. 107
  
• Ramin Pichevar, Jean Rouat:
  Monophonic sound source separation with an unsupervised network of spiking neurones. 109-120
  
• Chia-Feng Juang, Tai-Mou Chen:
  Birdsong recognition using prediction-based recurrent neural fuzzy networks. 121-130
  
• Zouhour Neji Ben Salem, Laurent Bougrain, Frédéric Alexandre:
  Spatio-temporal biologically inspired models for clean and noisy speech recognition. 131-136
  
• Man-Wai Mak, Kwok-Kwong Yiu, Sun-Yuan Kung:
  Probabilistic feature-based transformation for speaker verification over telephone networks. 137-146
  
• Vassiliki Moschou, Dimitrios Ververidis, Constantine Kotropoulos:
  Assessment of self-organizing map variants for clustering with application to redistribution of emotional speech patterns. 147-156
  
• Margarita Kotti, Emmanouil Benetos, Constantine Kotropoulos, Ioannis Pitas:
  A neural network approach to audio-assisted movie dialogue detection. 157-166
  
• Gholam Ali Montazer, Reza Sabzevari, H. Gh. Khatir:
  Improvement of learning algorithms for RBF neural networks in a helicopter sound identification system. 167-173
  
• Rodrigo Capobianco Guido, Lucimar Sasso Vieira, Sylvio Barbon Junior, Fabrício Lopes Sanchez, Carlos Dias Maciel, Everthon Silva Fonseca, Jose Carlos Pereira:
  A neural-wavelet architecture for voice conversion. 174-180
  

• Zhijie Wang, Hong Fan:
  Dynamics of a continuous-valued discrete-time Hopfield neural network with synaptic depression. 181-190
  
• Fengxi Song, David Zhang, Jizhong Wang, Hang Liu, Qing Tao:
  A parameterized direct LDA and its application to face recognition. 191-196
  
• Juan Ignacio Mulero Martínez:
  Boundedness of the nominal coefficients in Gaussian RBF neural networks. 197-220
  
• Ole Winther, Kaare Brandt Petersen:
  Flexible and efficient implementations of Bayesian independent component analysis. 221-233
  
• Chun-Fei Hsu, Guan-Ming Chen, Tsu-Tian Lee:
  Robust intelligent tracking control with PID-type learning algorithm. 234-243
  
• Zhiguo Zhang:
  Learning algorithm of wavelet network based on sampling theory. 244-269
  
• Mu-Chun Su, Chao-Hsin Hung:
  A neural-network-based approach to detecting rectangular objects. 270-283
  
• Young-Jun Lee, Jihyun Lee, Kyung Ki Kim, Yong-Bin Kim, Joseph Ayers:
  Low power CMOS electronic central pattern generator design for a biomimetic underwater robot. 284-296
  
• Cheng-Jian Lin, Shang-Jin Hong:
  The design of neuro-fuzzy networks using particle swarm optimization and recursive singular value decomposition. 297-310
  
• Wai Kit Wong, Heng Siong Lim:
  A robust and effective fuzzy adaptive equalizer for powerline communication channels. 311-322
  
• Jens Nilsson, Fredrik Andersson:
  A circuit framework for robust manifold learning. 323-332
  
• Solenna Blanchard, David Rousseau, François Chapeau-Blondeau:
  Noise enhancement of signal transduction by parallel arrays of nonlinear neurons with threshold and saturation. 333-341
  
• Chia-Feng Juang, Chun-I Lee:
  A fuzzified neural fuzzy inference network for handling both linguistic and numerical information simultaneously. 342-352
  
• Takafumi Kanamori:
  Pool-based active learning with optimal sampling distribution and its information geometrical interpretation. 353-362
  
• Zhirong Yang, Jorma Laaksonen:
  Multiplicative updates for non-negative projections. 363-373
  
• Francisco García-Córdova:
  A cortical network for control of voluntary movements in a robot finger. 374-391
  
• Sergio Bermejo:
  Finite sample effects of the fast ICA algorithm. 392-399
  

• Angel Navia-Vázquez:
  Compact multi-class support vector machine. 400-405
  
• Zhenwei Shi, Changshui Zhang:
  Nonlinear innovation to blind source separation. 406-410
  
• Javier Molina-Vilaplana, Juan López Coronado:
  Neural modelling of hand grip formation during reach to grasp. 411-416
  
• Anke Meyer-Bäse, R. Roberts, Hyun Geun Yu:
  Robust stability analysis of competitive neural networks with different time-scales under perturbations. 417-420
  
• Tao Li, Lei Guo, Changyin Sun:
  Robust stability for neural networks with time-varying delays and linear fractional uncertainties. 421-427
  
• Tao Li, Shumin Fei:
  Exponential state estimation for recurrent neural networks with distributed delays. 428-438
  
• Tao Li, Lei Guo, Changyin Sun:
  Further result on asymptotic stability criterion of neural networks with time-varying delays. 439-447
  
• Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia:
  Palmprint recognition with 2DPCA+PCA based on modular neural networks. 448-454
  
• Bo Chen, Li Yuan, Hongwei Liu, Zheng Bao:
  Kernel subclass discriminant analysis. 455-458
  
• Haixian Wang, Zilan Hu:
  An unified EM algorithm for PCA and KPCA. 459-462
  

Volume 71, Numbers 4-6, January 2008

• Derong Liu, Huaguang Zhang, Sanqing Hu:
  Neural networks: Algorithms and applications. 471-473
  
• C. Ji, H. G. Zhang, Y. Wei:
  LMI approach for global robust stability of Cohen-Grossberg neural networks with multiple delays. 475-485
  
• Mahmood Amiri, Sohrab Saeb, Mohammad Javad Yazdanpanah, Seyyed Ali Seyyedsalehi:
  Analysis of the dynamical behavior of a feedback auto-associative memory. 486-494
  
• Baoxian Wang, Jigui Jian, Chuande Guo:
  Global exponential stability of a class of BAM networks with time-varying delays and continuously distributed delays. 495-501
  
• Yanjun Shen, Cuicui Li:
  LMI-based finite-time boundedness analysis of neural networks with parametric uncertainties. 502-507
  
• Bingji Xu, Qun Wang, Xiaoxin Liao:
  Stability analysis of high-order Hopfield type neural networks with uncertainty. 508-512
  
• Xiaoxin Liao, Qi Luo, Zhigang Zeng:
  Positive invariant and global exponential attractive sets of neural networks with time-varying delays. 513-518
  
• Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Luisa Marquez, Miguel Pasadas:
  Soft-computing techniques and ARMA model for time series prediction. 519-537
  
• You Zhou, Yanchun Liang, Chengquan Hu, Liupu Wang, Xiaohu Shi:
  An artificial neural network method for combining gene prediction based on equitable weights. 538-543
  
• Bernie P. Huang, Joseph C. Chen, Ye Li:
  Artificial-neural-networks-based surface roughness Pokayoke system for end-milling operations. 544-549
  
• Wenjian Wang, Changqian Men, Weizhen Lu:
  Online prediction model based on support vector machine. 550-558
  
• Zhiling Lin, Dapeng Zhang, Liqun Gao, Zhi Kong:
  Using an adaptive self-tuning approach to forecast power loads. 559-563
  
• Junfei Qiao, Huidong Wang:
  A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling. 564-569
  
• Xunkai Wei, Yinghong Li:
  Linear programming minimum sphere set covering for extreme learning machines. 570-575
  
• Guang-Bin Huang, Ming-Bin Li, Lei Chen, Chee Kheong Siew:
  Incremental extreme learning machine with fully complex hidden nodes. 576-583
  
• Meng Joo Er, Yi Zhou:
  A novel framework for automatic generation of fuzzy neural networks. 584-591
  
• JunSeok Lim:
  Recursive DLS solution for extreme learning machine-based channel equalizer. 592-599
  
• Wei-Po Lee, Kung-Cheng Yang:
  A clustering-based approach for inferring recurrent neural networks as gene regulatory networks. 600-610
  
• Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li:
  Support vector machine classification for large data sets via minimum enclosing ball clustering. 611-619
  
• Hengqing Tong, Tianzhen Liu, Qiaoling Tong:
  Unsupervised learning neural network with convex constraint: Structure and algorithm. 620-625
  
• Feilong Cao, Tingfan Xie, Zongben Xu:
  The estimate for approximation error of neural networks: A constructive approach. 626-630
  
• Min Wang, Shuyuan Yang, Shunjun Wu, Feng Luo:
  A RBFNN approach for DoA estimation of ultra wideband antenna array. 631-640
  
• Jun Kong, Yinghua Lu, Shuhua Wang, Miao Qi, Hongzhi Li:
  A two stage neural network-based personal identification system using handprint. 641-647
  
• Daibing Zhang, Dewen Hu, Lincheng Shen, Haibin Xie:
  Design of an artificial bionic neural network to control fish-robot's locomotion. 648-654
  
• Xiuqing Wang, Zeng-Guang Hou, An-Min Zou, Min Tan, Long Cheng:
  A behavior controller based on spiking neural networks for mobile robots. 655-666
  

• Antonio Fernández-Caballero, José Mira, Gustavo Deco:
  50 years of artificial intelligence: A neuronal approach. 667-669
  
• José Mira Mira:
  Symbols versus connections: 50 years of artificial intelligence. 671-680
  
• Xabier E. Barandiaran, Alvaro Moreno:
  On the nature of neural information: A critique of the received view 50 years later. 681-692
  
• Enrique A. Lopez-Poveda, Ana Alves-Pinto, Alan R. Palmer, Almudena Eustaquio-Martín:
  Rate versus time representation of high-frequency spectral notches in the peripheral auditory system: A computational modeling study. 693-703
  
• José Mira, Ana E. Delgado, María T. López, Antonio Fernández-Caballero, Miguel Angel Fernández:
  A conceptual frame with two neural mechanisms to model selective visual attention processes. 704-720
  
• Pablo González-Nalda, Blanca Cases:
  Topos: Spiking neural networks for temporal pattern recognition in complex real sounds. 721-732
  
• Noelia García Rubio, Matías Gámez, Esteban Alfaro Cortés:
  ANN+GIS: An automated system for property valuation. 733-742
  
• Francisco Maciá Pérez, Juan Manuel García Chamizo, Antonio Soriano Payá, Daniel Ruiz Fernández:
  A robust model of the neuronal regulator of the lower urinary tract based on artificial neural networks. 743-754
  
• Luis Rodríguez, Ismael García-Varea, José A. Gámez:
  On the application of different evolutionary algorithms to the alignment problem in statistical machine translation. 755-765
  
• José-Javier Martínez, F. Javier Toledo, Eduardo Fernández, José M. Ferrández:
  A retinomorphic architecture based on discrete-time cellular neural networks using reconfigurable computing. 766-775
  
• Javier Martínez-Cantos, Enrique J. Carmona, Antonio Fernández-Caballero, María T. López:
  Parametric improvement of lateral interaction in accumulative computation in motion-based segmentation. 776-786
  

• Pradipta Maji:
  Efficient design of neural network tree using a new splitting criterion. 787-800
  
• Minas Pertselakis, Andreas Stafylopatis:
  Dynamic modular fuzzy neural classifier with tree-based structure identification. 801-812
  
• Haibo Gu, Haijun Jiang, Zhidong Teng:
  Existence and globally exponential stability of periodic solution of BAM neural networks with impulses and recent-history distributed delays. 813-822
  
• Yurong Liu, Zidong Wang, Xiaohui Liu:
  Robust stability of discrete-time stochastic neural networks with time-varying delays. 823-833
  
• Fengli Ren, Jinde Cao:
  Asymptotic and robust stability of genetic regulatory networks with time-varying delays. 834-842
  
• Chengtao Wen, Xiaoyan Ma:
  A max-piecewise-linear neural network for function approximation. 843-852
  
• Sang-Woo Ban, Inwon Lee, Minho Lee:
  Dynamic visual selective attention model. 853-856
  
• Yuanchao Liu, Xiaolong Wang, Chong Wu:
  ConSOM: A conceptional self-organizing map model for text clustering. 857-862
  
• Minghui Jiang, Yi Shen:
  Stability of non-autonomous bidirectional associative memory neural networks with delay. 863-874
  
• Marjan Golob, Boris Tovornik:
  Input-output modelling with decomposed neuro-fuzzy ARX model. 875-884
  
• Sunan Huang, Kok Kiong Tan, Tong Heng Lee:
  Adaptive neural network algorithm for control design of rigid-link electrically driven robots. 885-894
  
• M. Geethanjali, S. Mary Raja Slochanal:
  A combined adaptive network and fuzzy inference system (ANFIS) approach for overcurrent relay system. 895-903
  
• M. Geethanjali, S. Mary Raja Slochanal, R. Bhavani:
  PSO trained ANN-based differential protection scheme for power transformers. 904-918
  
• Rita Sabrina Delogu, Alessandra Fanni, Augusto Montisci:
  Geometrical synthesis of MLP neural networks. 919-930
  
• Sheng Chen, Xia Hong, Chris J. Harris:
  An orthogonal forward regression technique for sparse kernel density estimation. 931-943
  
• Chuanhuan Yin, Shengfeng Tian, Shaomin Mu, Chong Shao:
  Efficient computations of gapped string kernels based on suffix kernel. 944-962
  
• Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma:
  EvOL-Neuron: Neuronal morphology generation. 963-972
  
• Hailin Liu, Yiu-ming Cheung:
  On blind source separation using generalized eigenvalues with a new metric. 973-982
  
• K. Shanti Swarup:
  Artificial neural network using pattern recognition for security assessment and analysis. 983-998
  
• Peter beim Graben, Jürgen Kurths:
  Simulating global properties of electroencephalograms with minimal random neural networks. 999-1007
  
• Hong-Jie Xing, Bao-Gang Hu:
  An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification. 1008-1021
  
• Xiaoyuan Zhu, Jiankang Wu, Yimin Cheng, Yixiao Wang:
  A unified framework to exploit information in BCI data for continuous prediction. 1022-1031
  
• Hong Zhang, Lansun Chen:
  Asymptotic behavior of discrete solutions to delayed neural networks with impulses. 1032-1038
  

• R. Rakkiyappan, P. Balasubramaniam:
  New global exponential stability results for neutral type neural networks with distributed time delays. 1039-1045
  
• Adriano L. I. Oliveira, Flavio R. G. Costa, Clovis O. S. Filho:
  Novelty detection with constructive probabilistic neural networks. 1046-1053
  
• Jianbo Yu, Shijin Wang, Lifeng Xi:
  Evolving artificial neural networks using an improved PSO and DPSO. 1054-1060
  
• Sancho Salcedo-Sanz, Emilio G. Ortíz-García, Ángel M. Pérez-Bellido, José Antonio Portilla-Figueras:
  Using a bank of binary Hopfield networks as constraints solver in hybrid algorithms. 1061-1068
  
• Tao Li, Shumin Fei:
  Stability analysis of Cohen-Grossberg neural networks with time-varying and distributed delays. 1069-1081
  
• Zhenwei Shi, Dan Zhang, Changshui Zhang:
  MACBSE: Extracting signals with linear autocorrelations. 1082-1091
  
• Ming Yang, Ping Yang:
  A novel condensing tree structure for rough set feature selection. 1092-1100
  
• Suneeta Agarwal:
  A note on "solving arithmetic problems using feed-forward neural networks". 1101-1102
  
• Reza Ebrahimpour, Ehsanollah Kabir, Hossein Esteky, Mohammad Reza Yousefi:
  View-independent face recognition with Mixture of Experts. 1103-1107
  

Volume 71, Numbers 7-9, March 2008

• Fabrice Rossi, Michael Biehl, Cecilio Angulo Bahón:
  Progress in modeling, theory, and application of computational intelligence. 1117-1119
  
• Thomas Burwick:
  Temporal coding with synchronization and acceleration as complementary mechanisms. 1121-1133
  
• Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas Baltz, Thomas B. Voigt:
  Contribution of the GABA shift to the transition from structural initialization to working stage in biologically realistic networks. 1134-1142
  
• Hélène Paugam-Moisy, Régis Martinez, Samy Bengio:
  Delay learning and polychronization for reservoir computing. 1143-1158
  
• Benjamin Schrauwen, Marion Wardermann, David Verstraeten, Jochen J. Steil, Dirk Stroobandt:
  Improving reservoirs using intrinsic plasticity. 1159-1171
  
• Igor Farkas, Matthew W. Crocker:
  Syntactic systematicity in sentence processing with a recurrent self-organizing network. 1172-1179
  
• Jan Peters, Stefan Schaal:
  Natural Actor-Critic. 1180-1190
  
• Hervé Frezza-Buet:
  Following non-stationary distributions by controlling the vector quantization accuracy of a growing neural gas network. 1191-1202
  
• Illya Kokshenev, Antônio de Pádua Braga:
  A multi-objective approach to RBF network learning. 1203-1209
  
• Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbara Hammer:
  Learning dynamics and robustness of vector quantization and neural gas. 1210-1219
  
• Cecilio Angulo, Davide Anguita, Luis González Abril, Juan Antonio Ortega:
  Support vector machines for interval discriminant analysis. 1220-1229
  
• Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick:
  Kernel-based online machine learning and support vector reduction. 1230-1237
  
• Majid Beigi, Andreas Zell:
  A kernel-based method for pattern extraction in random process signals. 1238-1247
  
• Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf:
  Causal reasoning by evaluating the complexity of conditional densities with kernel methods. 1248-1256
  
• Romain Boulet, Bertrand Jouve, Fabrice Rossi, Nathalie Villa:
  Batch kernel SOM and related Laplacian methods for social network analysis. 1257-1273
  
• Cédric Archambeau, Nicolas Delannay, Michel Verleysen:
  Mixtures of robust probabilistic principal component analyzers. 1274-1282
  
• Pierre Gaillard, Michaël Aupetit, Gérard Govaert:
  Learning topology of a labeled data set with the supervised generative Gaussian graph. 1283-1299
  
• Nicolas Delannay, Michel Verleysen:
  Collaborative filtering with interlaced generalized linear models. 1300-1310
  
• Antti Honkela, Jeremias Seppä, Esa Alhoniemi:
  Agglomerative independent variable group analysis. 1311-1320
  
• Madalina Olteanu, Joseph Rynkiewicz:
  Estimating the number of components in a mixture of multilayer perceptrons. 1321-1329
  

• Zhijun Li, Weidong Chen, Jun Luo:
  Adaptive compliant force-motion control of coordinated non-holonomic mobile manipulators interacting with unknown non-rigid environments. 1330-1344
  
• Sundaram Suresh, Narasimhan Sundararajan, Paramasivan Saratchandran:
  A sequential multi-category classifier using radial basis function networks. 1345-1358
  
• Eu Jin Teoh, Kay Chen Tan, H. J. Tang, Cheng Xiang, Chi Keong Goh:
  An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. 1359-1372
  
• Richard T. Gray, Peter A. Robinson:
  Stability and synchronization of random brain networks with a distribution of connection strengths. 1373-1387
  
• Haiping Du, Nong Zhang:
  Time series prediction using evolving radial basis function networks with new encoding scheme. 1388-1400
  
• E. E. Ekpo, I. M. Mujtaba:
  Evaluation of neural networks-based controllers in batch polymerisation of methyl methacrylate. 1401-1412
  
• Oleksandr Makeyev, Edward Sazonov, Tatiana Baidyk, Anabel Martín:
  Limited receptive area neural classifier for texture recognition of mechanically treated metal surfaces. 1413-1421
  
• Shangjiang Guo, Xianhua Tang, Lihong Huang:
  Bifurcation analysis in a discrete-time single-directional network with delays. 1422-1435
  
• Ben Niu, Yunlong Zhu, Xiaoxian He, Hai Shen:
  A multi-swarm optimizer based fuzzy modeling approach for dynamic systems processing. 1436-1448
  
• Qinggang Meng, Mark H. Lee:
  Error-driven active learning in growing radial basis function networks for early robot learning. 1449-1461
  
• Mike W. Shields, Matthew C. Casey:
  A theoretical framework for multiple neural network systems. 1462-1476
  
• Richard Neville:
  Third-order generalization: A new approach to categorizing higher-order generalization. 1477-1499
  
• Jiann-Ming Wu:
  Blind separation of fetal electrocardiograms by annealed expectation maximization. 1500-1514
  
• Xizhao Wang, Chun-Guo Li, Daniel S. Yeung, ShiJi Song, HuiMin Feng:
  A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. 1515-1526
  
• Bo Cartling:
  On the implicit acquisition of a context-free grammar by a simple recurrent neural network. 1527-1537
  
• Yunxia Li, Zhang Yi:
  An algorithm for extracting fetal electrocardiogram. 1538-1542
  
• Zhen Wen, Jitao Sun:
  Global asymptotic stability of delay BAM neural networks with impulses via nonsmooth analysis. 1543-1549
  
• Saul C. Leite, Raul Fonseca Neto:
  Incremental margin algorithm for large margin classifiers. 1550-1560
  
• Jun Ye:
  Adaptive control of nonlinear PID-based analog neural networks for a nonholonomic mobile robot. 1561-1565
  
• Jun Xu, Yong-Yan Cao, Daoying Pi, Youxian Sun:
  An estimation of the domain of attraction for recurrent neural networks with time-varying delays. 1566-1577
  
• Fabien Lauer, Gérard Bloch:
  Incorporating prior knowledge in support vector machines for classification: A review. 1578-1594
  
• Chuangxia Huang, Yigang He, Lihong Huang, Mingyong Lai:
  Global exponential periodicity of three-unit neural networks in a ring with time-varying delays. 1595-1603
  
• Kyung-Joong Kim, Sung-Bae Cho:
  Evolutionary ensemble of diverse artificial neural networks using speciation. 1604-1618
  
• Takashi Kohno, Kazuyuki Aihara:
  Mathematical-model-based design of silicon burst neurons. 1619-1628
  
• Julian Martin Fernandez, Bart Farell:
  A neural model for the integration of stereopsis and motion parallax in structure from motion. 1629-1641
  
• Ivica Kopriva, Damir Sersic:
  Wavelet packets approach to blind separation of statistically dependent sources. 1642-1655
  
• Jinjie Huang, Yunze Cai, Xiaoming Xu:
  A parameterless feature ranking algorithm based on MI. 1656-1668
  
• Zhi-Lin Zhang:
  Morphologically constrained ICA for extracting weak temporally correlated signals. 1669-1679
  
• Kar-Ann Toh:
  An error-counting network for pattern classification. 1680-1693
  
• Karsten Kube, Andreas Herzog, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
  Spike-timing-dependent plasticity in small-world networks. 1694-1704
  
• Shujun Long, Daoyi Xu:
  Delay-dependent stability analysis for impulsive neural networks with time varying delays. 1705-1713
  
• Qinghua Huang, Jie Yang, Yue Zhou:
  Bayesian nonstationary source separation. 1714-1729
  

• Ruicong Zhi, Qiuqi Ruan:
  Facial expression recognition based on two-dimensional discriminant locality preserving projections. 1730-1734
  
• Yanyan Liu, Xiuping Liu, Zhixun Su:
  A new fuzzy approach for handling class labels in canonical correlation analysis. 1735-1740
  
• Fei Long, Shumin Fei:
  Neural networks stabilization and disturbance attenuation for nonlinear switched impulsive systems. 1741-1747
  
• Dezhong Peng, Zhang Yi, Jiancheng Lv, Yong Xiang:
  A neural networks learning algorithm for minor component analysis and its convergence analysis. 1748-1752
  

• Tao Li, Shumin Fei:
  Corrigendum to "Exponential state estimation for recurrent neural networks with distributed delays" [Neurocomputing 71(1-3) (2007) 428-438]. 1753-1758
  

Volume 71, Numbers 10-12, June 2008

• Dacheng Tao, Xuelong Li:
  Neurocomputing for vision research. 1769-1770
  
• Jing Li, Nigel M. Allinson:
  A comprehensive review of current local features for computer vision. 1771-1787
  
• Huiqiong Wang, Stephen Lin, Xiuqing Ye, Weikang Gu:
  Separating corneal reflections for illumination estimation. 1788-1797
  
• Iasonas Kokkinos, Rachid Deriche, Olivier D. Faugeras, Petros Maragos:
  Computational analysis and learning for a biologically motivated model of boundary detection. 1798-1812
  
• Jun Miao, Lijuan Duan, Laiyun Qing, Wen Gao, Xilin Chen, Yuan Yuan:
  Spatial relationship representation for visual object searching. 1813-1823
  
• Taiping Zhang, Bin Fang, Weining Liu, Yuan Yan Tang, Guanghui He, Jing Wen:
  Total variation norm-based nonnegative matrix factorization for identifying discriminant representation of image patterns. 1824-1831
  
• Zhenyu He, Xinge You, Yuan Yan Tang:
  Writer identification using global wavelet-based features. 1832-1841
  
• Jidong Zhao, Ke Lu, Xiaofei He:
  Locality sensitive semi-supervised feature selection. 1842-1849
  
• Qingshan Liu, Hongliang Jin, Xiaoou Tang, Hanqing Lu, Songde Ma:
  A new extension of kernel feature and its application for visual recognition. 1850-1856
  
• Yong Xu, David Zhang, Jian Yang, Jing-Yu Yang:
  An approach for directly extracting features from matrix data and its application in face recognition. 1857-1865
  
• Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank:
  Tensor Rank One Discriminant Analysis - A convergent method for discriminative multilinear subspace selection. 1866-1882
  
• Fengxi Song, Hang Liu, David Zhang, Jing-Yu Yang:
  A highly scalable incremental facial feature extraction method. 1883-1888
  
• Hao Wang, Kongqiao Wang:
  Affective interaction based on person-independent facial expression space. 1889-1901
  
• Qi Li, Chandra Kambhamettu, Jieping Ye:
  An evaluation of identity representability of facial expressions using feature distributions. 1902-1912
  
• Mingli Song, Mingyu You, Na Li, Chun Chen:
  A robust multimodal approach for emotion recognition. 1913-1920
  
• Xinbo Gao, Juanjuan Zhong, Dacheng Tao, Xuelong Li:
  Local face sketch synthesis learning. 1921-1930
  
• Caifeng Shan, Shaogang Gong, Peter W. McOwan:
  Fusing gait and face cues for human gender recognition. 1931-1938
  
• Ju Cheng Yang, Dong-Sun Park:
  A fingerprint verification algorithm using tessellated invariant moment features. 1939-1946
  
• Chin-Chen Chang, Cheng-Yi Liu, Wen-Kai Tai:
  Feature alignment approach for hand posture recognition based on curvature scale space. 1947-1953
  
• Abbes Amira, Shrutisagar Chandrasekaran, David W. G. Montgomery, Isa Servan Uzun:
  A segmentation concept for positron emission tomography imaging using multiresolution analysis. 1954-1965
  
• Jonathan Randall, Ling Guan, Wanqing Li, Xing Zhang:
  The HCM for perceptual image segmentation. 1966-1979
  
• Henrik Berg, Roland Olsson, Thomas Lindblad, José Chilo:
  Automatic design of pulse coupled neurons for image segmentation. 1980-1993
  
• Huiyu Zhou, Yuan Yuan, Faquan Lin, Tangwei Liu:
  Level set image segmentation with Bayesian analysis. 1994-2000
  
• Mohand Saïd Allili, Djemel Ziou:
  Object tracking in videos using adaptive mixture models and active contours. 2001-2011
  
• Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, L. Rodney Long, George R. Thoma:
  Automatic medical image annotation and retrieval. 2012-2022
  
• Xuelong Li, Dacheng Tao, Stephen J. Maybank, Yuan Yuan:
  Visual music and musical vision. 2023-2028
  
• Bai Xiao, Andrea Torsello, Edwin R. Hancock:
  Isotree: Tree clustering via metric embedding. 2029-2036
  
• Stephen J. Maybank:
  Approximation to the Fisher-Rao metric for the focus of expansion. 2037-2045
  
• Liangpei Zhang, Ke Wu, Yanfei Zhong, Pingxiang Li:
  A new sub-pixel mapping algorithm based on a BP neural network with an observation model. 2046-2054
  
• Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin:
  Processing visual stimuli using hierarchical spiking neural networks. 2055-2068
  

• Deniz Erdogmus, Danilo P. Mandic, Toshihisa Tanaka:
  Advances in blind signal processing. 2069-2070
  
• Frédéric Abrard, Yannick Deville, Johan Thomas:
  Blind partial separation of underdetermined convolutive mixtures of complex sources based on differential normalized kurtosis. 2071-2086
  
• Maria G. Jafari, Emmanuel Vincent, Samer A. Abdallah, Mark D. Plumbley, Mike E. Davies:
  An adaptive stereo basis method for convolutive blind audio source separation. 2087-2097
  
• V. G. Reju, Soo Ngee Koh, Ing Yann Soon:
  Partial separation method for solving permutation problem in frequency domain blind source separation of speech signals. 2098-2112
  
• Kiyotoshi Matsuoka:
  Elimination of filtering indeterminacy in blind source separation. 2113-2126
  
• Yonggang Zhang, Jonathon A. Chambers, Paul Kendrick, Trevor J. Cox, Francis F. Li:
  A combined blind source separation and adaptive noise cancellation scheme with potential application in blind acoustic parameter extraction. 2127-2139
  
• Naoya Ohnishi, Atsushi Imiya:
  Independent component analysis of optical flow for robot navigation. 2140-2163
  
• Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky:
  Blind separation of convolutive image mixtures. 2164-2179
  
• Patricia R. Oliveira, Roseli A. F. Romero:
  Improvements on ICA mixture models for image pre-processing and segmentation. 2180-2193
  
• Saïd Moussaoui, Hafrun Hauksdóttir, Frédéric Schmidt, Christian Jutten, Jocelyn Chanussot, David Brie, Sylvain Douté, Jon Atli Benediktsson:
  On the decomposition of Mars hyperspectral data by ICA and Bayesian positive source separation. 2194-2208
  
• Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar Wolfgang Lang:
  A robust model for spatiotemporal dependencies. 2209-2216
  
• Libo Ma, Liqing Zhang:
  Overcomplete topographic independent component analysis. 2217-2223
  
• Simone Fiori:
  Leap-frog-type learning algorithms over the Lie group of unitary matrices. 2224-2244
  
• Michele Scarpiniti, Daniele Vigliano, Raffaele Parisi, Aurelio Uncini:
  Generalized splitting functions for blind separation of complex signals. 2245-2270
  
• Tsung-Ying Sun, Chan-Cheng Liu, Sheng-Ta Hsieh, Shang-Jeng Tsai:
  Blind separation with unknown number of sources based on auto-trimmed neural network. 2271-2280
  
• Andreas Brinch Nielsen, Lars Kai Hansen:
  Structure learning by pruning in independent component analysis. 2281-2290
  
• Ata Kabán, Ella Bingham:
  Factorisation and denoising of 0-1 data: A variational approach. 2291-2308
  
• Rafal Zdunek, Andrzej Cichocki:
  Nonnegative matrix factorization with quadratic programming. 2309-2320
  
• Yoshikazu Washizawa, Andrzej Cichocki:
  Sparse blind identification and separation by using adaptive K-orthodrome clustering. 2321-2329
  
• Farid Movahedi Naini, G. Hosein Mohimani, Massoud Babaie-Zadeh, Christian Jutten:
  Estimating the mixing matrix in Sparse Component Analysis (SCA) based on partial k-dimensional subspace clustering. 2330-2343
  
• Wai Yie Leong, Wei Liu, Danilo P. Mandic:
  Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing. 2344-2355
  
• Kurt Stadlthanner, Fabian J. Theis, Elmar Wolfgang Lang, Ana Maria Tomé, Carlos García Puntonet, Juan Manuel Górriz:
  Hybridizing sparse component analysis with genetic algorithms for microarray analysis. 2356-2376
  
• Sookjeong Kim, Jong Kyoung Kim, Seungjin Choi:
  Independent arrays or independent time courses for gene expression time series data analysis. 2377-2387
  
• Dragan Obradovic, Chongning Na, Ruxandra Lupas Scheiterer, Andrei Szabo:
  EM-based semi-blind channel estimation method for MIMO-OFDM communication systems. 2388-2398
  

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