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ORCIDNeural Processing Letters, Volume 37
Volume 37, Number 1, February 2013
- Juan-Manuel Moreno Aróstegui, Joan Cabestany
, Ignacio Rojas:
Preface. 1 - Ajalmar R. da Rocha Neto, Guilherme A. Barreto:
Opposite Maps: Vector Quantization Algorithms for Building Reduced-Set SVM and LSSVM Classifiers. 3-19 - Angela Zeiler, Rupert Faltermeier, Ana Maria Tomé, Carlos García Puntonet, Alexander Brawanski, Elmar Wolfgang Lang:
Weighted Sliding Empirical Mode Decomposition for Online Analysis of Biomedical Time Series. 21-32 - Markos Mentzelopoulos, Alexandra Psarrou, Anastassia Angelopoulou, José García Rodríguez:
Active Foreground Region Extraction and Tracking for Sports Video Annotation. 33-46 - Rafael Marcos Luque Baena, Juan Miguel Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, Enrique Domínguez, Esteban J. Palomo:
A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis. 47-67 - Esteban J. Palomo, Enrique Domínguez, Rafael M. Luque-Baena, José Muñoz:
Image Compression and Video Segmentation Using Hierarchical Self-Organization. 69-87 - Chih-Lyang Hwang, Kai-Di Lu, Yi-Tsung Pan:
Segmentation of Different Skin Colors with Different Lighting Conditions by Combining Graph Cuts Algorithm with Probability Neural Network Classification, and its Application. 89-109
Volume 37, Number 2, April 2013
- José Aguilar, Cristhian Molina:
The Multilayer Random Neural Network. 111-133 - Fengshan Wang, Daoqiang Zhang:
A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction. 135-146 - R. Chandran, P. Balasubramaniam:
Delay Dependent Exponential Stability for Fuzzy Recurrent Neural Networks with Interval Time-Varying Delay. 147-161 - Penghua Li, Yi Chai, Qingyu Xiong:
Quantized Neural Modeling: Hybrid Quantized Architecture in Elman Networks. 163-187 - Shuai Li, Sanfeng Chen, Bo Liu:
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function. 189-205 - György Kovács, András Hajdu:
Translation Invariance in the Polynomial Kernel Space and Its Applications in kNN Classification. 207-233
Volume 37, Number 3, June 2013
- Le A. Tuan, Phan Thanh Nam, Vu Ngoc Phat:
New H∞ Controller Design for Neural Networks with Interval Time-Varying Delays in State and Observation. 235-249 - Çagdas Hakan Aladag, Ufuk Yolcu, Erol Egrioglu:
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization. 251-262 - Riccardo Rizzo:
A New Training Method for Large Self Organizing Maps. 263-275 - Yimin Yang, Yaonan Wang, Xiaofang Yuan:
Parallel Chaos Search Based Incremental Extreme Learning Machine. 277-301 - Ricardo de A. Araújo:
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting. 303-333 - Xudong Zhou, Xiaohong Chen, Songcan Chen:
Neighborhood Correlation Analysis for Semi-paired Two-View Data. 335-354 - Yi Chen, Zhenzhen Li, Zhong Jin:
Feature Extraction Based on Maximum Nearest Subspace Margin Criterion. 355-375 - Adiel Castaño, Francisco Fernández-Navarro, César Hervás-Martínez:
PCA-ELM: A Robust and Pruned Extreme Learning Machine Approach Based on Principal Component Analysis. 377-392 - Qintao Gan:
Exponential Synchronization of Stochastic Fuzzy Cellular Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control. 393-410 - Shuai Li, Zheng Wang, Yangming Li:
Using Laplacian Eigenmap as Heuristic Information to Solve Nonlinear Constraints Defined on a Graph and Its Application in Distributed Range-Free Localization of Wireless Sensor Networks. 411-424
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