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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 25
Volume 25, Number 1, January 2014
- Derong Liu
:
Editorial TNNLS Special Issues and Editorial Board Changes. 1-8 - Robi Polikar, Cesare Alippi:
Guest Editorial Learning in Nonstationary and Evolving Environments. 9-11 - Karl B. Dyer, Robert Capo, Robi Polikar:
COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data. 12-26 - Indre Zliobaite, Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes:
Active Learning With Drifting Streaming Data. 27-39 - Yohei Nakada, Makio Wakahara, Takashi Matsumoto:
Online Bayesian Learning With Natural Sequential Prior Distribution. 40-54 - Mahardhika Pratama, Sreenatha G. Anavatti, Plamen P. Angelov, Edwin Lughofer:
PANFIS: A Novel Incremental Learning Machine. 55-68 - Ludmila I. Kuncheva, William J. Faithfull:
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data. 69-80 - Dariusz Brzezinski, Jerzy Stefanowski:
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm. 81-94 - João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz:
Mining Recurring Concepts in a Dynamic Feature Space. 95-110 - Shi-Lu Dai, Cong Wang, Min Wang:
Dynamic Learning From Adaptive Neural Network Control of a Class of Nonaffine Nonlinear Systems. 111-123 - Huanhuan Chen, Peter Tiño, Ali Rodan, Xin Yao:
Learning in the Model Space for Cognitive Fault Diagnosis. 124-136 - Vasso Reppa, Marios M. Polycarpou, Christos G. Panayiotou:
Adaptive Approximation for Multiple Sensor Fault Detection and Isolation of Nonlinear Uncertain Systems. 137-153 - R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, Indre Zliobaite, Mykola Pechenizkiy:
Dealing With Concept Drifts in Process Mining. 154-171 - Bukhari Che Ujang, Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
Adaptive Convex Combination Approach for the Identification of Improper Quaternion Processes. 172-182 - Ryo Saegusa, Giorgio Metta, Giulio Sandini, Lorenzo Natale:
Developmental Perception of the Self and Action. 183-202 - Hongmei He, Thomas Martin McGinnity, Sonya A. Coleman, Bryan Gardiner:
Linguistic Decision Making for Robot Route Learning. 203-215 - Chia-Feng Juang, Chi-You Chen:
An Interval Type-2 Neural Fuzzy Chip With On-Chip Incremental Learning Ability for Time-Varying Data Sequence Prediction and System Control. 216-228 - Yun Wei, Chuanyi Ji, Floyd Galvan, Stephen Couvillon, George Orellana, James Momoh:
Learning Geotemporal Nonstationary Failure and Recovery of Power Distribution. 229-240 - Domingos Savio Pereira Salazar, Paulo Jorge Leitão Adeodato, Adrian Lucena Arnaud:
Continuous Dynamical Combination of Short and Long-Term Forecasts for Nonstationary Time Series. 241-246
Volume 25, Number 2, February 2014
- Bao-Gang Hu:
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers? 249-264 - Felipe A. Tobar, Sun-Yuan Kung, Danilo P. Mandic:
Multikernel Least Mean Square Algorithm. 265-277 - Vaibhav Gandhi, Girijesh Prasad, Damien Coyle, Laxmidhar Behera, Thomas Martin McGinnity:
Quantum Neural Network-Based EEG Filtering for a Brain-Computer Interface. 278-288 - Anderson Rocha, Siome Klein Goldenstein:
Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches. 289-302 - Hao Quan, Dipti Srinivasan, Abbas Khosravi:
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals. 303-315 - Kirill Minkovich, Corey M. Thibeault, Michael John O'Brien, Aleksey Nogin, Youngkwan Cho, Narayan Srinivasa:
HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters. 316-331 - Yu Liu, Hong Wang, Chaohuan Hou:
Sliding-Mode Control Design for Nonlinear Systems Using Probability Density Function Shaping. 332-343 - Martin Andre Agnes Fiers, Thomas Van Vaerenbergh, Francis Wyffels, David Verstraeten, Benjamin Schrauwen, Joni Dambre, Peter Bienstman:
Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns. 344-355 - Huanhuan Chen, Peter Tiño, Xin Yao:
Efficient Probabilistic Classification Vector Machine With Incremental Basis Function Selection. 356-369 - Dongsheng Guo, Yunong Zhang:
Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality Aided With an Equality Conversion. 370-382 - Xinyi Le, Jun Wang:
Robust Pole Assignment for Synthesizing Feedback Control Systems Using Recurrent Neural Networks. 383-393 - Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel:
Efficient Dual Approach to Distance Metric Learning. 394-406 - Ryad Benosman, Charles Clercq, Xavier Lagorce, Sio-Hoi Ieng, Chiara Bartolozzi:
Event-Based Visual Flow. 407-417 - Derong Liu, Ding Wang, Hongliang Li:
Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control Approach. 418-428 - Jin-Liang Wang, Huai-Ning Wu, Lei Guo:
Novel Adaptive Strategies for Synchronization of Linearly Coupled Neural Networks With Reaction-Diffusion Terms. 429-440
Volume 25, Number 3, March 2014
- Junzhi Yu, Min Tan, Jian Chen, Jianwei Zhang:
A Survey on CPG-Inspired Control Models and System Implementation. 441-456 - Zheng Yan, Jun Wang:
Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks. 457-469 - Reza Davtalab, Mir Hossein Dezfoulian, Muharram Mansoorizadeh:
Multi-Level Fuzzy Min-Max Neural Network Classifier. 470-482 - Mariel Alfaro-Ponce, Amadeo José Argüelles-Cruz, Isaac Chairez:
Adaptive Identifier for Uncertain Complex Nonlinear Systems Based on Continuous Neural Networks. 483-494 - Peter Andras:
Function Approximation Using Combined Unsupervised and Supervised Learning. 495-505 - Paolo Campigotto, Andrea Passerini, Roberto Battiti:
Active Learning of Pareto Fronts. 506-519 - Ning Chen, Jun Zhu, Fuchun Sun, Bo Zhang:
Learning Harmonium Models With Infinite Latent Features. 520-532 - Cyrus Jahanchahi, Danilo P. Mandic:
A Class of Quaternion Kalman Filters. 533-544 - Wei Bian, Xiaojun Chen:
Neural Network for Nonsmooth, Nonconvex Constrained Minimization Via Smooth Approximation. 545-556 - Amir Hesam Salavati, K. Raj Kumar, Amin Shokrollahi:
Nonbinary Associative Memory With Exponential Pattern Retrieval Capacity and Iterative Learning. 557-570 - Keith Rudd, Gianluca Di Muro, Silvia Ferrari:
A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations. 571-584 - Narayan Srinivasa, Deying Zhang, Beayna Grigorian:
A Robust and Scalable Neuromorphic Communication System by Combining Synaptic Time Multiplexing and MIMO-OFDM. 585-608 - Reza Khosrowabadi, Chai Quek, Kai Keng Ang, Abdul Wahab:
ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal. 609-620 - Derong Liu, Qinglai Wei:
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems. 621-634 - Bin Xu, Chenguang Yang, Zhongke Shi:
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique. 635-641
Volume 25, Number 4, April 2014
- Qin Zhang, Chunling Dong, Yan Cui, Zhihui Yang:
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Statistics Base, Matrix, and Application. 645-663 - Zhaohong Deng, Kup-Sze Choi, Longbing Cao, Shitong Wang:
T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System. 664-676 - Wei-Tao Zhang, Shun-Tian Lou, Da-Zheng Feng:
Adaptive Quasi-Newton Algorithm for Source Extraction via CCA Approach. 677-689 - Ailong Wu, Zhigang Zeng:
Lagrange Stability of Memristive Neural Networks With Discrete and Distributed Delays. 690-703 - Zhenyuan Guo, Jun Wang, Zheng Yan:
Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays. 704-717 - Qikun Shen, Peng Shi, Tianping Zhang, Cheng-Chew Lim:
Novel Neural Control for a Class of Uncertain Pure-Feedback Systems. 718-727 - Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu:
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. 728-737 - Shuhui Li, Michael Fairbank, Cameron Johnson, Donald C. Wunsch, Eduardo Alonso, Julio L. Proao:
Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions. 738-750 - Qing Hui, Wassim M. Haddad, James M. Bailey, Tomohisa Hayakawa:
A Stochastic Mean Field Model for an Excitatory and Inhibitory Synaptic Drive Cortical Neuronal Network. 751-763 - Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel:
RandomBoost: Simplified Multiclass Boosting Through Randomization. 764-779 - Jifei Yu, Xinbo Gao, Dacheng Tao, Xuelong Li, Kaibing Zhang:
A Unified Learning Framework for Single Image Super-Resolution. 780-792 - Wenming Zheng, Zhouchen Lin, Haixian Wang:
L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction. 793-805 - Manjeevan Seera, Chee Peng Lim:
Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model. 806-812 - Tatt Hee Oong, Nor Ashidi Mat Isa:
Feature-Based Ordering Algorithm for Data Presentation of Fuzzy ARTMAP Ensembles. 812-819 - Thomas John Walls, Konstantin K. Likharev:
Self-Organization in Autonomous, Recurrent, Firing-Rate CrossNets With Quasi-Hebbian Plasticity. 819-824 - Xing He, Chuandong Li, Tingwen Huang, Chaojie Li, Junjian Huang:
A Recurrent Neural Network for Solving Bilevel Linear Programming Problem. 824-830 - Mohamad Mostafa, Werner G. Teich, Jürgen Lindner:
Local Stability Analysis of Discrete-Time, Continuous-State, Complex-Valued Recurrent Neural Networks With Inner State Feedback. 830-836 - Jiahua Luo, Chi-Man Vong, Pak-Kin Wong:
Sparse Bayesian Extreme Learning Machine for Multi-classification. 836-843
Volume 25, Number 5, May 2014
- Benoît Frénay, Michel Verleysen:
Classification in the Presence of Label Noise: A Survey. 845-869 - Alexander Bauer, Nico Görnitz, Franziska Biegler, Klaus-Robert Müller, Marius Kloft:
Efficient Algorithms for Exact Inference in Sequence Labeling SVMs. 870-881 - Hasan Ferdowsi, Sarangapani Jagannathan, Maciej J. Zawodniok:
An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance. 908-919 - Chunlin Chen, Daoyi Dong, Han-Xiong Li, Jian Chu, Tzyh Jong Tarn:
Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems. 920-933 - Steven R. Young, Junjie Lu, Jeremy Holleman, Itamar Arel:
On the Impact of Approximate Computation in an Analog DeSTIN Architecture. 934-946 - Huanqing Wang, Bing Chen, Kefu Liu, Xiaoping Liu, Chong Lin:
Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis. 947-958 - Yang-Yin Lin, Shih-Hui Liao, Jyh-Yeong Chang, Chin-Teng Lin:
Simplified Interval Type-2 Fuzzy Neural Networks. 959-969 - Botla Ganesh, Vadlagattu Varun Kumar, Kalipatnapu Yamuna Rani:
Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks. 970-979
Volume 25, Number 6, June 2014
- Cesare Alippi, Manuel Roveri, Francesco Trovò:
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks. 1021-1032 - Jin-Ling Lin, Kao-Shing Hwang, Ya-Ling Wang:
A Simple Scheme for Formation Control Based on Weighted Behavior Learning. 1033-1044 - Sabri Arik:
New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties. 1045-1052 - Pierre Blanchart, Marine Depecker:
A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series. 1053-1070 - Haifeng Liu, Zheng Yang, Ji Yang, Zhaohui Wu, Xuelong Li:
Local Coordinate Concept Factorization for Image Representation. 1071-1082 - Xinwang Liu, Lei Wang, Jian Zhang, Jianping Yin, Huan Liu:
Global and Local Structure Preservation for Feature Selection. 1083-1095 - Hongwei Zhang, Xiong Xiao, Osamu Hasegawa:
A Load-Balancing Self-Organizing Incremental Neural Network. 1096-1105 - Ali Heydari, Sivasubramanya Nadar Balakrishnan:
Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming. 1106-1117 - Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe:
Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM. 1118-1130 - Yunhao Yuan, Quan-Sen Sun:
Multiset Canonical Correlations Using Globality Preserving Projections With Applications to Feature Extraction and Recognition. 1131-1146 - Matthias Rolf, Jochen J. Steil:
Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk. 1147-1160 - Zhengqiu Zhang, Jinde Cao, Dongming Zhou:
Novel LMI-Based Condition on Global Asymptotic Stability for a Class of Cohen-Grossberg BAM Networks With Extended Activation Functions. 1161-1172 - Bertrand Lebichot, Ilkka Kivimäki, Kevin Françoisse, Marco Saerens:
Semisupervised Classification Through the Bag-of-Paths Group Betweenness. 1173-1186 - Tianrui Chen, Cong Wang, David J. Hill:
Rapid Oscillation Fault Detection and Isolation for Distributed Systems via Deterministic Learning. 1187-1199 - Wenyong Dong, MengChu Zhou:
Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization. 1200-1216 - C. L. Philip Chen, Guoxing Wen, Yan-Jun Liu, Fei-Yue Wang:
Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks. 1217-1226
Volume 25, Number 7, July 2014
- Huaguang Zhang, Zhanshan Wang, Derong Liu:
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks. 1229-1262 - Chuan-Ke Zhang, Yong He, Lin Jiang, Q. H. Wu, Min Wu:
Delay-Dependent Stability Criteria for Generalized Neural Networks With Two Delay Components. 1263-1276 - Yun-Seog Yeun, Nam-Joon Kim:
The Group Latent Variable Approach to Probit Binary Classifications. 1277-1286 - Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
A Unifying Framework for Typical Multitask Multiple Kernel Learning Problems. 1287-1297 - Michimasa Kitahara, Masaki Kobayashi:
Projection Rule for Rotor Hopfield Neural Networks. 1298-1307 - Qingshan Liu, Tingwen Huang, Jun Wang:
One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems. 1308-1318 - Ping Zhong, Runsheng Wang:
Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery. 1319-1334 - Daizhan Cheng, Tingting Xu, Hongsheng Qi:
Evolutionarily Stable Strategy of Networked Evolutionary Games. 1335-1345 - Hui Wei, Qiang Li, Zheng Dong:
Learning and Representing Object Shape Through an Array of Orientation Columns. 1346-1358 - Ling Shao, Li Liu, Xuelong Li:
Feature Learning for Image Classification Via Multiobjective Genetic Programming. 1359-1371 - Marcos Eduardo Valle:
A Robust Subspace Projection Autoassociative Memory Based on the M-Estimation Method. 1372-1377 - Chao Ge, Changchun Hua, Xinping Guan:
New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay Using Delay-Decomposition Approach. 1378-1383 - Inês Domingues, Jaime S. Cardoso:
Max-Ordinal Learning. 1384-1389 - Veronica Bloom, Igor Griva, Byong Kwon, Anna-Rose Wolff:
Exterior-Point Method for Support Vector Machines. 1390-1393 - Luca Consolini, Gabriele Lini:
A Gauss-Newton Method for the Synthesis of Periodic Outputs With Central Pattern Generators. 1394-1400 - Xiaofeng Liao, Chuandong Li, Tingwen Huang:
Exponential Convergence Estimates for a Single Neuron System of Neutral-Type. 1401-1406 - Canh Hao Nguyen, Nicolas Wicker, Hiroshi Mamitsuka:
Selecting Graph Cut Solutions via Global Graph Similarity. 1407-1412 - Devis Tuia, Jordi Muñoz-Marí, José Luis Rojo-Álvarez, Manel Martínez-Ramón, Gustavo Camps-Valls:
Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces. 1413-1419
Volume 25, Number 8, August 2014
- Aroor Dinesh Dileep, Chellu Chandra Sekhar:
GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines. 1421-1432 - Xiaohui Huang, Yunming Ye, Haijun Zhang:
Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation. 1433-1446 - Minyoung Kim:
Efficient Kernel Sparse Coding Via First-Order Smooth Optimization. 1447-1459 - Zhijun Li, Shuzhi Sam Ge, Sibang Liu:
Contact-Force Distribution Optimization and Control for Quadruped Robots Using Both Gradient and Adaptive Neural Networks. 1460-1473 - Michael J. Skocik, Lyle N. Long:
On the Capabilities and Computational Costs of Neuron Models. 1474-1483 - Eric Fock:
Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes - A New Framework for Feedforward Neural Networks. 1484-1495 - Gang Chen, Yong-Duan Song:
Cooperative Tracking Control of Nonlinear Multiagent Systems Using Self-Structuring Neural Networks. 1496-1507 - Zhouhua Peng, Dan Wang, Hongwei Zhang, Gang Sun:
Distributed Neural Network Control for Adaptive Synchronization of Uncertain Dynamical Multiagent Systems. 1508-1519 - Jayaram Raghuram, David J. Miller, George Kesidis:
Instance-Level Constraint-Based Semisupervised Learning With Imposed Space-Partitioning. 1520-1537 - Zizhu Fan, Yong Xu, Wangmeng Zuo, Jian Yang, Jinhui Tang, Zhihui Lai, David Zhang:
Modified Principal Component Analysis: An Integration of Multiple Similarity Subspace Models. 1538-1552 - Monica Bianchini, Franco Scarselli:
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures. 1553-1565 - Junying Zhang, Xiaoxue Zhao, Xiaotao He:
A Minimum Resource Neural Network Framework for Solving Multiconstraint Shortest Path Problems. 1566-1582 - Abdolreza Joghataie, Omid Oliyan Torghabehi:
Simulating Dynamic Plastic Continuous Neural Networks by Finite Elements. 1583-1587 - Wei Bian, Tianyi Zhou, Aleix M. Martínez, George Baciu, Dacheng Tao:
Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction. 1588-1594 - Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell:
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation". 1595-1596
Volume 25, Number 9, September 2014
- Akira Hirose, Igor N. Aizenberg, Danilo P. Mandic:
Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks. 1597-1599 - Marcos Eduardo Valle:
Complex-Valued Recurrent Correlation Neural Networks. 1600-1612 - George M. Georgiou:
The Field of Values of a Matrix and Neural Networks. 1613-1620 - Bolin Liao, Yunong Zhang:
Different Complex ZFs Leading to Different Complex ZNN Models for Time-Varying Complex Generalized Inverse Matrices. 1621-1631 - Igor N. Aizenberg:
MLMVN With Soft Margins Learning. 1632-1644 - Jin-Ping Chen, Shie-Jue Lee:
Modified Multivalued Neuron With Periodic Tolerant Activation Function. 1645-1658 - Kartick Subramanian, Savitha Ramasamy, Suresh Sundaram:
A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System. 1659-1672 - Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris:
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. 1673-1685 - Tianben Ding, Akira Hirose:
Fading Channel Prediction Based on Combination of Complex-Valued Neural Networks and Chirp Z-Transform. 1686-1695 - Elizabeth C. Behrman, Richard E. F. Bonde, James Edward Steck, Joanna F. Behrman:
On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks. 1696-1703 - Ziye Zhang, Chong Lin, Bing Chen:
Global Stability Criterion for Delayed Complex-Valued Recurrent Neural Networks. 1704-1708 - Tao Fang, Jitao Sun:
Stability of Complex-Valued Recurrent Neural Networks With Time-Delays. 1709-1713 - Pengsheng Zheng:
Threshold Complex-Valued Neural Associative Memory. 1714-1718 - Athanasios Papaioannou, Stefanos Zafeiriou:
Principal Component Analysis With Complex Kernel: The Widely Linear Model. 1719-1726 - Kotaro Terabayashi, Ryo Natsuaki, Akira Hirose:
Ultrawideband Direction-of-Arrival Estimation Using Complex-Valued Spatiotemporal Neural Networks. 1727-1732 - Ruizhuo Song, Wendong Xiao, Huaguang Zhang, Changyin Sun:
Adaptive Dynamic Programming for a Class of Complex-Valued Nonlinear Systems. 1733-1739
Volume 25, Number 10, October 2014
- C. L. Philip Chen, Jing Wang, Chi-Hsu Wang, Long Chen:
A New Learning Algorithm for a Fully Connected Neuro-Fuzzy Inference System. 1741-1757 - Wenbing Zhang, Yang Tang, Qingying Miao, Jian-An Fang:
Synchronization of Stochastic Dynamical Networks Under Impulsive Control With Time Delays. 1758-1768 - Qing Tao, Qian-Kun Gao, DeJjn Chu, Gao-wei Wu:
Stochastic Learning via Optimizing the Variational Inequalities. 1769-1778 - Zhihui Lai, Wai Keung Wong, Yong Xu, Cairong Zhao, Mingming Sun:
Sparse Alignment for Robust Tensor Learning. 1779-1792 - Hao Yu, Philip D. Reiner, Tiantian Xie, Tomasz Bartczak, Bogdan M. Wilamowski:
An Incremental Design of Radial Basis Function Networks. 1793-1803 - Yang Tang, Huijun Gao, Jianquan Lu, Jürgen Kurths:
Pinning Distributed Synchronization of Stochastic Dynamical Networks: A Mixed Optimization Approach. 1804-1815 - Lech Szymanski, Brendan McCane:
Deep Networks are Effective Encoders of Periodicity. 1816-1827 - Ning Wang, Meng Joo Er, Min Han:
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares. 1828-1841 - Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. 1842-1854 - Li-Xin Li, Lin Wu, Hui-Sheng Zhang, Fang-Xiang Wu:
A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence. 1855-1863 - Miao Hu, Hai Li, Yiran Chen, Qing Wu, Garrett S. Rose, Richard W. Linderman:
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study. 1864-1878 - Di You, Carlos Fabian Benitez-Quiroz, Aleix M. Martínez:
Multiobjective Optimization for Model Selection in Kernel Methods in Regression. 1879-1893 - Miguel S. B. Almeida, Ricardo Vigário, José M. Bioucas-Dias:
Separation of Synchronous Sources Through Phase Locked Matrix Factorization. 1894-1908 - Michael Fairbank, Danil V. Prokhorov, Eduardo Alonso:
Clipping in Neurocontrol by Adaptive Dynamic Programming. 1909-1920 - Hai-Tao Zhang, Zhiyong Chen:
Consensus Acceleration in a Class of Predictive Networks. 1921-1927 - Meiqin Liu, Senlin Zhang, Haiyang Chen, Weihua Sheng:
H∞ Output Tracking Control of Discrete-Time Nonlinear Systems via Standard Neural Network Models. 1928-1935 - Tae H. Lee, Myeong-Jin Park, Ju H. Park, Oh-Min Kwon, Sang-Moon Lee:
Extended Dissipative Analysis for Neural Networks With Time-Varying Delays. 1936-1941 - Zhihui Lai, Yong Xu, Qingcai Chen, Jian Yang, David Zhang:
Multilinear Sparse Principal Component Analysis. 1942-1950
Volume 25, Number 11, November 2014
- Nikoletta K. Bassiou, Constantine Kotropoulos:
Online PLSA: Batch Updating Techniques Including Out-of-Vocabulary Words. 1953-1966 - Miguel Lázaro-Gredilla, Steven Van Vaerenbergh:
A Gaussian Process Model for Data Association and a Semidefinite Programming Solution. 1967-1979 - Yoshikazu Washizawa, Seiji Hotta:
Mahalanobis Distance on Extended Grassmann Manifolds for Variational Pattern Analysis. 1980-1990 - Luis Munoz-Gonzalez, Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal:
Divisive Gaussian Processes for Nonstationary Regression. 1991-2003 - Chenguang Yang, Zhijun Li, Rongxin Cui, Bugong Xu:
Neural Network-Based Motion Control of an Underactuated Wheeled Inverted Pendulum Model. 2004-2016 - Zhenfeng Chen, Shuzhi Sam Ge, Yun Zhang, Yanan Li:
Adaptive Neural Control of MIMO Nonlinear Systems With a Block-Triangular Pure-Feedback Control Structure. 2017-2029 - Hubert Cecotti, Miguel P. Eckstein, Barry Giesbrecht:
Single-Trial Classification of Event-Related Potentials in Rapid Serial Visual Presentation Tasks Using Supervised Spatial Filtering. 2030-2042 - Zhigang Liu, Zhiwei Han, Yang Zhang, Qiaoge Zhang:
Multiwavelet Packet Entropy and its Application in Transmission Line Fault Recognition and Classification. 2043-2052 - Azadeh Soltani, Mohammad R. Akbarzadeh-Totonchi:
Confabulation-Inspired Association Rule Mining for Rare and Frequent Itemsets. 2053-2064 - Fujin Zhong, Jiashu Zhang, Defang Li:
Discriminant Locality Preserving Projections Based on L1-Norm Maximization. 2065-2074 - Francisco Fernández-Navarro, Annalisa Riccardi, Sante Carloni:
Ordinal Neural Networks Without Iterative Tuning. 2075-2085 - Cristiano Cervellera, Danilo Macciò:
Local Linear Regression for Function Learning: An Analysis Based on Sample Discrepancy. 2086-2098 - Zhenyuan Guo, Jun Wang, Zheng Yan:
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays. 2099-2109 - Renquan Lu, Wenwu Yu, Jinhu Lu, Anke Xue:
Synchronization on Complex Networks of Networks. 2110-2118 - Miaolong Yuan, Huajin Tang, Haizhou Li:
Real-Time Keypoint Recognition Using Restricted Boltzmann Machine. 2119-2126
Volume 25, Number 12, December 2014
- Zhi Liu, Guanyu Lai, Yun Zhang, Xin Chen, Chun-Lung Philip Chen:
Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis. 2129-2140 - Xiangnan Zhong, Haibo He, Huaguang Zhang, Zhanshan Wang:
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming. 2141-2155 - Yajun Zhang, Tianyou Chai, Jing Sun, Xinkai Chen, Hong Wang:
A Novel Estimation Algorithm Based on Data and Low-Order Models for Virtual Unmodeled Dynamics. 2156-2166 - Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang:
Structure-Constrained Low-Rank Representation. 2167-2179 - Zhengguang Wu, Peng Shi, Hongye Su, Jian Chu:
Exponential Stabilization for Sampled-Data Neural-Network-Based Control Systems. 2180-2190 - Yanwei Pang, Shuang Wang, Yuan Yuan:
Learning Regularized LDA by Clustering. 2191-2201 - Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity. 2202-2211 - Hanlin Goh, Nicolas Thome, Matthieu Cord, Joo-Hwee Lim:
Learning Deep Hierarchical Visual Feature Coding. 2212-2225 - Hong Cao, Vincent Y. F. Tan, John Z. F. Pang:
A Parsimonious Mixture of Gaussian Trees Model for Oversampling in Imbalanced and Multimodal Time-Series Classification. 2226-2239 - Li Cheng, Sinno Jialin Pan:
Semi-supervised Domain Adaptation on Manifolds. 2240-2249 - Junhaeng Lee, Tobi Delbruck, Michael Pfeiffer, Paul K. J. Park, Chang-Woo Shin, Hyunsurk Ryu, Byung-Chang Kang:
Real-Time Gesture Interface Based on Event-Driven Processing From Stereo Silicon Retinas. 2250-2263 - Yongping Pan, Haoyong Yu, Meng Joo Er:
Adaptive Neural PD Control With Semiglobal Asymptotic Stabilization Guarantee. 2264-2274 - Wei Bi, James T. Kwok:
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification. 2275-2287 - Jie Zhong, Jianquan Lu, Yang Liu, Jinde Cao:
Synchronization in an Array of Output-Coupled Boolean Networks With Time Delay. 2288-2294 - Yang Liu, Yan Liu, Keith C. C. Chan, Kien A. Hua:
Hybrid Manifold Embedding. 2295-2302 - Ling Shao, Di Wu, Xuelong Li:
Learning Deep and Wide: A Spectral Method for Learning Deep Networks. 2303-2308 - Ohad Asor, Hubert Haoyang Duan, Aryeh Kontorovich:
On the Additive Properties of the Fat-Shattering Dimension. 2309-2312
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