Connectionists: Neurocomputing volume 67

Tom Heskes t.heskes at science.ru.nl
Sat Jul 9 14:25:49 EDT 2005


Neurocomputing Volume 67 (August 2005)

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SPECIAL PAPERS
(Geometrical Methods in Neural Networks and Learning
edited by Simone Fiori and Shun-ichi Amari)

Geometrical methods in neural networks and learning
Simone Fiori and Shun-ichi Amari

Geometrical learning, descriptive geometry, and biomimetic pattern 
recognition
Wang Shoujue and Lai Jiangliang

Nonlinear dimensionality reduction of data manifolds with essential loops
John Aldo Lee and Michel Verleysen

Geometric preprocessing, geometric feedforward neural networks and 
Clifford support vector machines for visual learning
Eduardo Bayro-Corrochano, Refugio Vallejo and Nancy Arana-Daniel

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold
Yasunori Nishimori and Shotaro Akaho

Tools for application-driven linear dimension reduction
Anuj Srivastava and Xiuwen Liu

Geometrical methods for non-negative ICA: Manifolds, Lie groups and 
toral subalgebras
Mark D. Plumbley

Algebraic geometry of singular learning machines and symmetry of 
generalization and training errors
Sumio Watanabe

The geometry of prior selection
Hichem Snoussi

Lattice duality: The origin of probability and entropy
Kevin H. Knuth

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LETTERS

Hyperchaos in Hopfield-type neural networks
Qingdu Li, Xiao-Song Yang and Fangyan Yang

GraySOFM network for solving classification problems
Ming-Feng Yeh and Kuang-Chiung Chang

A robust approach to empirical PDF estimate
Sungho Jo

Dimensional complexity analysis of human EEG in visual processing
Shan Tong, Hua Huang, Ju Luan and Huaiqing Chen

LMI-based robust stability analysis of neural networks with time-varying 
delay
Hongbin Zhang and Xiaofeng Liao

GreyART network for data clustering
Ming-Feng Yeh and Shao-Shan Chiang

Global convergence analysis of a self-stabilizing MCA learning algorithm
Mao Ye

An uncorrelated fisherface approach
Xiao-Yuan Jing, Hau-San Wong, David Zhang and Yuan-Yan Tang

Seeking multi-thresholds directly from support vectors for image 
segmentation
Songcan Chen and Min Wang

Applications of a neural network to watermarking capacity of digital image
Fan Zhang and Hongbin Zhang

Non-uniform image compression using a biologically motivated selective 
attention model
Seung-Hyun Lee, Sang-Bok Choi, Minho Lee and Hyun-Seung Yang

Weighted maximum margin discriminant analysis with kernels
Wenming Zheng, Cairong Zou and Li Zhao

Learning similarity for semantic images classification
Dianhui Wang, Joon Shik Lim, Myung-Mook Han and Byung-Wook Lee

A simple functional neural network for computing the largest and 
smallest eigenvalues and corresponding eigenvectors of a real symmetric 
matrix
Yiguang Liu, Zhisheng You and Liping Cao

A functional neural network for computing the largest modulus 
eigenvalues and their corresponding eigenvectors of an anti-symmetric matrix
Yiguang Liu, Zhisheng You and Liping Cao

Regaining sparsity in kernel principal components
C. García-Osorio and Colin Fyfe

Boosting Naïve Bayes text classification using uncertainty-based 
selective sampling
Han-Joon Kim, Je-Uk Kim and Young-Gook Ra

An efficient parallel algorithm for the minimum crossing number problem
Rong Long Wang and Kozo Okazaki

A binary Hopfield neural network with hysteresis for large crossbar 
packet-switches
Guangpu Xia, Zheng Tang, Yong Li and Jiahai Wang

Fuzzy linear proximal support vector machines for multi-category data 
classification
Jayadeva, Reshma Khemchandani and Suresh Chandra

A discrete competitive Hopfield neural network for cellular channel 
assignment problems
Jiahai Wang, Zheng Tang, Xinshun Xu and Yong Li

Supervised kernel locality preserving projections for face recognition
Jian Cheng, Qingshan Liu, Hanqing Lu and Yen-Wei Chen

On the possible use of ICA to identify synaptic inputs from observations 
of several neurons
Pando Gr. Georgiev and Henry C. Tuckwell

A method to improve the transiently chaotic neural network
Xinshun Xu, Zheng Tang and Jiahai Wang

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JOURNAL SITE: http://www.elsevier.com/locate/neucom
SCIENCE DIRECT: 
http://www.sciencedirect.com/science/issue/5660-2005-999329999-601289



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