Connectionists: Neurocomputing volume 73 (issues 10-12)

[Tom Heskes]

Connectionists: Neurocomputing volume 73 (issues 10-12)

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SPECIAL PAPERS
(Subspace Learning)

Subspace Learning (editorial)
Xuelong Li, Dacheng Tao

Maximum margin criterion with tensor representation
Rong-Xiang Hu, Wei Jia, De-Shuang Huang, Ying-Ke Lei

Multilinear principal component analysis for face recognition with fewer 
features
Jin Wang, Armando Barreto, Lu Wang, Yu Chen, Naphtali Rishe, Jean 
Andrian, Malek Adjouadi

Feature extraction based on fuzzy 2DLDA
Wankou Yang, Xiaoyong Yan, Lei Zhang, Changyin Sun

Metric learning with feature decomposition for image categorization
Meng Wang, Bo Liu, Jinhui Tang, Xian-Sheng Hua

A new kernelization framework for Mahalanobis distance learning algorithms
Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn 
Tangchanachaianan, Boonserm Kijsirikul

Semi-supervised learning with varifold Laplacians
Lei Ding, Peibiao Zhao

An empirical study of two typical locality preserving linear 
discriminant analysis methods
Lishan Qiao, Limei Zhang, Songcan Chen

Regularization parameter choice in locally linear embedding
Genaro Daza-Santacoloma, Carlos D. Acosta-Medina, Germán 
Castellanos-Domínguez

Manifold embedding for shape analysis
Bai Xiao, Edwin Hancock, Hang Yu

Incremental learning of LDA model for Chinese writer adaptation
Lianwen Jin, Kai Ding, Zhibin Huang

Online subspace learning using a misalignment detection for tracking a 
talking face in video sequence
Quoc Dinh Nguyen, Maurice Milgram

A unified semi-supervised dimensionality reduction framework for 
manifold learning
Ratthachat Chatpatanasiri, Boonserm Kijsirikul

Classification by semi-supervised discriminative regularization
Fei Wu, Wenhua Wang, Yi Yang, Yueting Zhuang, Feiping Nie

Co-training with relevant random subspaces
Yusuf Yaslan, Zehra Cataltepe

Building topographic subspace model with transfer learning for sparse 
representation
Yang Liu, Jian Cheng, Changsheng Xu, Hanqing Lu

Discriminant analysis via support vectors
Suicheng Gu, Ying Tan, Xingui He

Study and evaluation of a multi-class SVM classifier using diminishing 
learning technique
J. Manikandan, B. Venkataramani

Hybrid SVMR-GPR for modeling of chaotic time series systems with noise 
and outliers
Jin-Tsong Jeng, Chen-Chia Chuang, Chin-Wang Tao

Supervised learning of local projection kernels
Mehmet Gönen, Ethem Alpaydın

Spectral clustering with eigenvector selection based on entropy ranking
Feng Zhao, Licheng Jiao, Hanqiang Liu, Xinbo Gao, Maoguo Gong

Feature extraction and clustering for dynamic video summarisation
Huiyu Zhou, Abdul H. Sadka, Mohammad R. Swash, Jawid Azizi, Umar A. Sadiq

Model-based subspace clustering of non-Gaussian data
Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila

Feature extraction based on subspace methods for regression problems
Nojun Kwak, Jung-Won Lee

Feature modeling using polynomial classifiers and stepwise regression
T. Shanableh, K. Assaleh

Weighted feature extraction with a functional data extension
Luis Gonzalo Sánchez Giraldo, Germán Castellanos Domínguez

Improving image annotation via representative feature vector selection
Wei-Chao Lin, Michael Oakes, John Tait

Normalized dimensionality reduction using nonnegative matrix factorization
Zhenfeng Zhu, Yue-Fei Guo, Xingquan Zhu, Xiangyang Xue

Fast Hopfield neural networks using subspace projections
Daniel Calabuig, Sonia Gimenez, Jose E. Roman, Jose F. Monserrat

A two-step framework for highly nonlinear data unfolding
Mingming Sun, ChuanCai Liu, Jian Yang, Zhong Jin, Jingyu Yang

Quotient vs. difference: Comparison between the two discriminant criteria
Yuting Tao, Jian Yang

Unifying perceptual and behavioral learning with a correlative subspace 
learning rule
Armin Duff, Paul F.M.J. Verschure

A fast recognition framework based on extreme learning machine using 
hybrid object information
Rashid Minhas, Abdul Adeel Mohammed, Q.M. Jonathan Wu

Principal component analysis based on non-parametric maximum entropy
Ran He, Baogang Hu, XiaoTong Yuan, Wei-Shi Zheng

Binary SIPPER plankton image classification using random subspace
Feng Zhao, Feng Lin, Hock Soon Seah

Modeling radiation-induced lung injury risk with an ensemble of support 
vector machines
Todd W. Schiller, Yixin Chen, Issam El Naqa, Joseph O. Deasy

Pose invariant virtual classifiers from single training image using 
novel hybrid-eigenfaces
Abhishek Sharma, Anamika Dubey, Pushkar Tripathi, Vinod Kumar

Event monitoring via local motion abnormality detection in non-linear 
subspace
Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu

Recursive spatiotemporal subspace learning for gait recognition
Rong Hu, Wei Shen, Hongyuan Wang

View-based 3D model retrieval with probabilistic graph model
Yue Gao, Jinhui Tang, Haojie Li, Qionghai Dai, Naiyao Zhang

Human action recognition using extreme learning machine based on visual 
vocabularies
Rashid Minhas, Aryaz Baradarani, Sepideh Seifzadeh, Q.M. Jonathan Wu

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SPECIAL PAPERS
(European Symposium on Time Series Prediction)

European Symposium on Times Series Prediction (editorial)
Amaury Lendasse, Timo Honkela, Olli Simula

Feature selection for time series prediction – A combined filter and 
wrapper approach for neural networks
Sven F. Crone, Nikolaos Kourentzes

Automatic clustering-based identification of autoregressive fuzzy 
inference models for time series
Federico Montesino Pouzols, Angel Barriga Barros

Multiple-output modeling for multi-step-ahead time series forecasting
Souhaib Ben Taieb, Antti Sorjamaa, Gianluca Bontempi

A comparative study of Reservoir Computing strategies for monthly time 
series prediction
F. Wyffels, B. Schrauwen

Design of specific-to-problem kernels and use of kernel weighted 
K-nearest neighbours for time series modelling
Ginés Rubio, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Alberto 
Guillén

OPELM and OPKNN in long-term prediction of time series using projected 
input data
Dušan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, Eric Séverin

Fault detection and other time series opportunities in the petroleum 
industry
Roar Nybø

On building local models for inverse system identification with vector 
quantization algorithms
Luís Gustavo M. Souza, Guilherme A. Barreto

Meta-learning for time series forecasting and forecast combination
Christiane Lemke, Bogdan Gabrys

Approximate k-NN delta test minimization method using genetic 
algorithms: Application to time series
Fernando Mateo, Dušan Sovilj, Rafael Gadea

New method for instance or prototype selection using mutual information 
in time series prediction
A. Guillen, L.J. Herrera, G. Rubio, H. Pomares, A. Lendasse, I. Rojas

Automatic detection of onset and cessation of tree stem radius increase 
using dendrometer data
Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, Mika Sulkava

Predicting bankruptcy using neural networks and other classification 
methods: The influence of variable selection techniques on model accuracy
Philippe du Jardin

Self organizing maps in corporate finance: Quantitative and qualitative 
analysis of debt and leasing
Eric Séverin

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REGULAR PAPERS

Global exponential system of projection neural networks for system of 
generalized variational inequalities and related nonlinear minimax problems
Qingshan Liu, Yongqing Yang

Evolutionary algorithms for the selection of time lags for time series 
forecasting by fuzzy inference systems
Kristina Lukoseviciute, Minvydas Ragulskis

Tuning SVM parameters by using a hybrid CLPSO–BFGS algorithm
Shutao Li, Mingkui Tan

Support vector machines based neuro-fuzzy control of nonlinear systems
S. Iplikci

Dynamics of solution for a class of delayed diffusive neural networks 
with mixed boundary conditions
Jianghong Bai, Zhidong Teng, Haijun Jiang

Feature evaluation and selection based on neighborhood soft margin
Qinghua Hu, Xunjian Che, Lei Zhang, Daren Yu

FPGA implementation of genetic vector quantizers
Chien-Min Ou

Impulsive pinning synchronization of stochastic discrete-time networks
Yang Tang, S.Y.S. Leung, W.K. Wong, Jian-an Fang

What kind of color spaces is suitable for color face recognition?
Jian Yang, Chengjun Liu, Jing-yu Yang

CQoCO: A measure for comparative quality of coverage and organization 
for self-organizing maps
Derek Beaton, Iren Valova, Daniel MacLean

Intelligent approaches using support vector machine and extreme learning 
machine for transmission line protection
V. Malathi, N.S. Marimuthu, S. Baskar

An efficient method for computing orthogonal discriminant vectors
Jinghua Wang, Yong Xu, David Zhang, Jane You

Effects of connectivity structure of complex echo state network on its 
prediction performance for nonlinear time series
Qingsong Song, Zuren Feng

Semi-supervised Gaussian process latent variable model with pairwise 
constraints
Xiumei Wang, Xinbo Gao, Yuan Yuan, Dacheng Tao, Jie Li

A fast multi-output RBF neural network construction method
Dajun Du, Kang Li, Minrui Fei

Manifold regularization based semisupervised semiparametric regression
Zhe Sun, Zengke Zhang, Huangang Wang

Robust face recognition based on illumination invariant in nonsubsampled 
contourlet transform domain
Yong Cheng, Yingkun Hou, Chunxia Zhao, Zuoyong Li, Yong Hu, Cailing Wang

First and second order sensitivity analysis of MLP
I-Cheng Yeh, Wei-Lun Cheng

Kernel subclass convex hull sample selection method for SVM on face 
recognition
Xiaofei Zhou, Wenhan Jiang, Yingjie Tian, Yong Shi

State estimation for discrete Markovian jumping neural networks with 
time delay
Zhengguang Wu, Hongye Su, Jian Chu

Discriminant analysis approach using fuzzy fourfold subspaces model
Xiaoning Song, Xibei Yang, Jingyu Yang, Xiaojun Wu, Yujie Zheng

Delayed Lagrangian neural networks for solving convex programming problems
Fen Li

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BRIEF PAPERS

Robust adaptive neural tracking control for a class of switched affine 
nonlinear systems
Lei Yu, Shumin Fei, Xun Li

Some novel double-scroll chaotic attractors in Hopfield networks
Pengsheng Zheng, Wansheng Tang, Jianxiong Zhang

Effects of “rich-gets-richer” rule on small-world networks
Hongwei Dai, Shangce Gao, Yu Yang, Zheng Tang

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