Neurocomputing, Volume 67

Volume 67, August 2005

• Simone Fiori, Shun-ichi Amari:
  Geometrical methods in neural networks and learning. 1-7
  
• Shoujue Wang, Jiangliang Lai:
  Geometrical learning, descriptive geometry, and biomimetic pattern recognition. 9-28
  
• John Aldo Lee, Michel Verleysen:
  Nonlinear dimensionality reduction of data manifolds with essential loops. 29-53
  
• Eduardo Bayro-Corrochano, Refugio Vallejo, Nancy Arana-Daniel:
  Geometric preprocessing, geometric feedforward neural networks and Clifford support vector machines for visual learning. 54-105
  
• Yasunori Nishimori, Shotaro Akaho:
  Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold. 106-135
  
• Anuj Srivastava, Xiuwen Liu:
  Tools for application-driven linear dimension reduction. 136-160
  
• Mark D. Plumbley:
  Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras. 161-197
  
• Sumio Watanabe:
  Algebraic geometry of singular learning machines and symmetry of generalization and training errors. 198-213
  
• Hichem Snoussi:
  The geometry of prior selection. 214-244
  
• Kevin H. Knuth:
  Lattice duality: The origin of probability and entropy. 245-274
  

• Qingdu Li, Xiao-Song Yang, Fangyan Yang:
  Hyperchaos in Hopfield-type neural networks. 275-280
  
• Ming-Feng Yeh, Kuang-Chiung Chang:
  GraySOFM network for solving classification problems. 281-287
  
• Sungho Jo:
  A robust approach to empirical PDF estimate. 288-296
  
• Shan Tong, Hua Huang, Ju Luan, Huaiqing Chen:
  Dimensional complexity analysis of human EEG in visual processing. 297-305
  
• Hongbin Zhang, Xiaofeng Liao:
  LMI-based robust stability analysis of neural networks with time-varying delay. 306-312
  
• Ming-Feng Yeh, Shao-Shan Chiang:
  GreyART network for data clustering. 313-320
  
• Mao Ye:
  Global convergence analysis of a self-stabilizing MCA learning algorithm. 321-327
  
• Xiao-Yuan Jing, Hau-San Wong, David Zhang, Yuan Yan Tang:
  An uncorrelated fisherface approach. 328-334
  
• Songcan Chen, Min Wang:
  Seeking multi-thresholds directly from support vectors for image segmentation. 335-344
  
• Fan Zhang, Hongbin Zhang:
  Applications of a neural network to watermarking capacity of digital image. 345-349
  
• Seung-Hyun Lee, Sang-Bok Choi, Minho Lee, Hyun Seung Yang:
  Non-uniform image compression using a biologically motivated selective attention model. 350-356
  
• Wenming Zheng, Cairong Zou, Li Zhao:
  Weighted maximum margin discriminant analysis with kernels. 357-362
  
• Dianhui Wang, Joon Shik Lim, Myung-Mook Han, Byung-Wook Lee:
  Learning similarity for semantic images classification. 363-368
  
• Yiguang Liu, Zhisheng You, Liping Cao:
  A simple functional neural network for computing the largest and smallest eigenvalues and corresponding eigenvectors of a real symmetric matrix. 369-383
  
• Yiguang Liu, Zhisheng You, Liping Cao:
  A functional neural network for computing the largest modulus eigenvalues and their corresponding eigenvectors of an anti-symmetric matrix. 384-397
  
• Cesar García-Osorio, Colin Fyfe:
  Regaining sparsity in kernel principal components. 398-402
  
• Han-Joon Kim, Je-Uk Kim, Young-Gook Ra:
  Boosting Naïve Bayes text classification using uncertainty-based selective sampling. 403-410
  
• Rong Long Wang, Kozo Okazaki:
  An efficient parallel algorithm for the minimum crossing number problem. 411-416
  
• Guangpu Xia, Zheng Tang, Yong Li, Jiahai Wang:
  A binary Hopfield neural network with hysteresis for large crossbar packet-switches. 417-425
  
• Jayadeva, Reshma Khemchandani, Suresh Chandra:
  Fuzzy linear proximal support vector machines for multi-category data classification. 426-435
  
• Jiahai Wang, Zheng Tang, Xinshun Xu, Yong Li:
  A discrete competitive Hopfield neural network for cellular channel assignment problems. 436-442
  
• Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
  Supervised kernel locality preserving projections for face recognition. 443-449
  
• Pando G. Georgiev, Henry C. Tuckwell:
  On the possible use of ICA to identify synaptic inputs from observations of several neurons. 450-455
  
• Xinshun Xu, Zheng Tang, Jiahai Wang:
  A method to improve the transiently chaotic neural network. 456-463
  

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