Volume 67,
August 2005
Geometrical Methods in Neural Networks and Learning
- Simone Fiori, Shun-ichi Amari:
Geometrical methods in neural networks and learning.
1-7
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- Shoujue Wang, Jiangliang Lai:
Geometrical learning, descriptive geometry, and biomimetic pattern recognition.
9-28
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- John Aldo Lee, Michel Verleysen:
Nonlinear dimensionality reduction of data manifolds with essential loops.
29-53
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- Eduardo Bayro-Corrochano, Refugio Vallejo, Nancy Arana-Daniel:
Geometric preprocessing, geometric feedforward neural networks and Clifford support vector machines for visual learning.
54-105
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- Yasunori Nishimori, Shotaro Akaho:
Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold.
106-135
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- Anuj Srivastava, Xiuwen Liu:
Tools for application-driven linear dimension reduction.
136-160
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- Mark D. Plumbley:
Geometrical methods for non-negative ICA: Manifolds, Lie groups and toral subalgebras.
161-197
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- Sumio Watanabe:
Algebraic geometry of singular learning machines and symmetry of generalization and training errors.
198-213
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- Hichem Snoussi:
The geometry of prior selection.
214-244
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- Kevin H. Knuth:
Lattice duality: The origin of probability and entropy.
245-274
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Letters
- Qingdu Li, Xiao-Song Yang, Fangyan Yang:
Hyperchaos in Hopfield-type neural networks.
275-280
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- Ming-Feng Yeh, Kuang-Chiung Chang:
GraySOFM network for solving classification problems.
281-287
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- Sungho Jo:
A robust approach to empirical PDF estimate.
288-296
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- Shan Tong, Hua Huang, Ju Luan, Huaiqing Chen:
Dimensional complexity analysis of human EEG in visual processing.
297-305
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- Hongbin Zhang, Xiaofeng Liao:
LMI-based robust stability analysis of neural networks with time-varying delay.
306-312
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- Ming-Feng Yeh, Shao-Shan Chiang:
GreyART network for data clustering.
313-320
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- Mao Ye:
Global convergence analysis of a self-stabilizing MCA learning algorithm.
321-327
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- Xiao-Yuan Jing, Hau-San Wong, David Zhang, Yuan Yan Tang:
An uncorrelated fisherface approach.
328-334
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- Songcan Chen, Min Wang:
Seeking multi-thresholds directly from support vectors for image segmentation.
335-344
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- Fan Zhang, Hongbin Zhang:
Applications of a neural network to watermarking capacity of digital image.
345-349
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- Seung-Hyun Lee, Sang-Bok Choi, Minho Lee, Hyun Seung Yang:
Non-uniform image compression using a biologically motivated selective attention model.
350-356
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- Wenming Zheng, Cairong Zou, Li Zhao:
Weighted maximum margin discriminant analysis with kernels.
357-362
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- Dianhui Wang, Joon Shik Lim, Myung-Mook Han, Byung-Wook Lee:
Learning similarity for semantic images classification.
363-368
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- 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
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- 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
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- Cesar García-Osorio, Colin Fyfe:
Regaining sparsity in kernel principal components.
398-402
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- Han-Joon Kim, Je-Uk Kim, Young-Gook Ra:
Boosting Naïve Bayes text classification using uncertainty-based selective sampling.
403-410
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- Rong Long Wang, Kozo Okazaki:
An efficient parallel algorithm for the minimum crossing number problem.
411-416
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- Guangpu Xia, Zheng Tang, Yong Li, Jiahai Wang:
A binary Hopfield neural network with hysteresis for large crossbar packet-switches.
417-425
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- Jayadeva, Reshma Khemchandani, Suresh Chandra:
Fuzzy linear proximal support vector machines for multi-category data classification.
426-435
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- Jiahai Wang, Zheng Tang, Xinshun Xu, Yong Li:
A discrete competitive Hopfield neural network for cellular channel assignment problems.
436-442
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- Jian Cheng, Qingshan Liu, Hanqing Lu, Yen-Wei Chen:
Supervised kernel locality preserving projections for face recognition.
443-449
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- Pando G. Georgiev, Henry C. Tuckwell:
On the possible use of ICA to identify synaptic inputs from observations of several neurons.
450-455
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- Xinshun Xu, Zheng Tang, Jiahai Wang:
A method to improve the transiently chaotic neural network.
456-463
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Copyright © Sun May 17 00:02:51 2009
by Michael Ley (ley@uni-trier.de)
