De-Shuang Huang

According to our database1, De-Shuang Huang authored at least 242 papers between 1995 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

On csauthors.net:

Bibliography

2019
High-Order Convolutional Neural Network Architecture for Predicting DNA-Protein Binding Sites.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC).
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

Robust dimensionality reduction via feature space to feature space distance metric learning.
Neural Networks, 2019

Deep learning-based methods for person re-identification: A comprehensive review.
Neurocomputing, 2019

A novel deep model with multi-loss and efficient training for person re-identification.
Neurocomputing, 2019

A deep model with combined losses for person re-identification.
Cognitive Systems Research, 2019

Guest editorial for special section on the 13th international conference on intelligent computing (ICIC).
Cognitive Systems Research, 2019

Omnidirectional Feature Learning for Person Re-Identification.
IEEE Access, 2019

IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC.
IEEE Access, 2019

Data Driven Regularization for Convolutional Neural Networks on Image Classification.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Convolutional Capsule-Based Network for Person Re-identification.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
LMMO: A Large Margin Approach for Refining Regulatory Motifs.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Optimization of Gene Set Annotations Using Robust Trace-Norm Multitask Learning.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Guest Editorial for Special Section on the 12th International Conference on Intelligent Computing (ICIC).
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Mutli-Features Prediction of Protein Translational Modification Sites.
IEEE/ACM Trans. Comput. Biology Bioinform., 2018

Image segmentation fusion using weakly supervised trace-norm multi-task learning method.
IET Image Processing, 2018

iPromoter-2L: a two-layer predictor for identifying promoters and their types by multi-window-based PseKNC.
Bioinformatics, 2018

iRO-3wPseKNC: identify DNA replication origins by three-window-based PseKNC.
Bioinformatics, 2018

iEnhancer-EL: identifying enhancers and their strength with ensemble learning approach.
Bioinformatics, 2018

Discovery of Relationships Between Long Non-Coding RNAs and Genes in Human Diseases Based on Tensor Completion.
IEEE Access, 2018

A Simple and Effective Deep Model for Person Re-identification.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

A Hybrid Deep Model for Person Re-Identification.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Nonconvex Penalty Based Low-Rank Representation and Sparse Regression for eQTL Mapping.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Guest Editorial for Special Section on the 11th International Conference on Intelligent Computing (ICIC).
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

PCID: A Novel Approach for Predicting Disease Comorbidity by Integrating Multi-Scale Data.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

Identifying Stages of Kidney Renal Cell Carcinoma by Combining Gene Expression and DNA Methylation Data.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017

An improved method for predicting interactions between virus and human proteins.
J. Bioinformatics and Computational Biology, 2017

Editorial: Special Issue on Advanced Intelligent Computing: Theory and Applications.
Neurocomputing, 2017

Multi-task ranking SVM for image cosegmentation.
Neurocomputing, 2017

Pupylation sites prediction with ensemble classification model.
IJDMB, 2017

FAACOSE: A Fast Adaptive Ant Colony Optimization Algorithm for Detecting SNP Epistasis.
Complexity, 2017

miRNA-Disease Association Prediction with Collaborative Matrix Factorization.
Complexity, 2017

Novel human microbe-disease association prediction using network consistency projection.
BMC Bioinformatics, 2017

Direct AUC optimization of regulatory motifs.
Bioinformatics, 2017

Convex local sensitive low rank matrix approximation.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Cross-validated smooth multi-instance learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Soft-bag based motif discovery for ChIP-seq datasets.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Random Walk-Based Solution to Triple Level Stochastic Point Location Problem.
IEEE Trans. Cybernetics, 2016

ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

Guest Editorial for Special Section on the 10th International Conference on Intelligent Computing (ICIC).
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

Special issue on Advanced Intelligent Computing Methodologies and Applications.
Neurocomputing, 2016

A novel dual minimization based level set method for image segmentation.
Neurocomputing, 2016

Conference Report on 2015 International Joint Conference on Neural Networks (IJCNN 2015) [Conference Reports].
IEEE Comp. Int. Mag., 2016

Understanding tissue-specificity with human tissue-specific regulatory networks.
SCIENCE CHINA Information Sciences, 2016

Representing logical relations automatically by Probabilistic Logical Dynamical Neural Network.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Visual data completion via local sensitive low rank tensor learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Novel Algorithm for Multiple Quantitative Trait Loci Mapping by Using Bayesian Variable Selection Regression.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

Prediction of Target Genes Based on Multiway Integration of High-Throughput Data.
Proceedings of the Intelligent Computing Theories and Application, 2016

Analysis of MicroRNA and Transcription Factor Regulation.
Proceedings of the Intelligent Computing Theories and Application, 2016

Prediction of Lysine Acetylation Sites Based on Neural Network.
Proceedings of the Intelligent Computing Theories and Application, 2016

Learning regulatory motifs by direct optimization of Fisher Exact Test Score.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

ILSES: Identification lysine succinylation-sites with ensemble classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Level set method for image segmentation based on moment competition.
J. Electronic Imaging, 2015

Special issue on advanced intelligent computing theories and applications.
Neurocomputing, 2015

An integrated strategy for functional analysis of microbial communities based on gene ontology and 16S rRNA gene.
IJDMB, 2015

NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma.
Comp. Math. Methods in Medicine, 2015

Identifying cancer-related microRNAs based on gene expression data.
Bioinformatics, 2015

A novel diversity-guided ensemble of neural network based on attractive and repulsive particle swarm optimization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Imputation of ChIP-seq datasets via Low Rank Convex Co-Embedding.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

DiscMLA: AUC-based discriminative motif learning.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
A Rayleigh-Ritz style method for large-scale discriminant analysis.
Pattern Recognition, 2014

Special issue on advanced intelligent computing theories and methodologies.
Neurocomputing, 2014

A novel texture image segmentation model based on multi-scale structure.
Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding.
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014

Completed hybrid local binary pattern for texture classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Hybrid Algorithm to Improve the Accuracy of Support Vector Machines on Skewed Data-Sets.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

A two-stage geometric method for detecting unreliable links in protein-protein networks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

MultiP-SChlo: Multi-label protein subchloroplast localization prediction.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Graphical Representation for DNA Sequences via Joint Diagonalization of Matrix Pencil.
IEEE J. Biomedical and Health Informatics, 2013

Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids.
IEEE/ACM Trans. Comput. Biology Bioinform., 2013

Increasing the reliability of protein-protein interaction networks via non-convex semantic embedding.
Neurocomputing, 2013

Efficient optimally regularized discriminant analysis.
Neurocomputing, 2013

The nearest-farthest subspace classification for face recognition.
Neurocomputing, 2013

Optimized projections for sparse representation based classification.
Neurocomputing, 2013

Special issue on advanced theory and methodology in intelligent computing: Selected papers from the Seventh International Conference on Intelligent Computing (ICIC 2011).
Neurocomputing, 2013

Mathematical Inference and Application of Expectation-Maximization Algorithm in the Construction of Phylogenetic Tree.
Proceedings of the Intelligent Computing Theories and Technology, 2013

A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Dataset reconstruction for protein interface identification using manifold learning method.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

SFAPS: An R package for structure/function analysis of protein sequences based on informational spectrum method.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Completed Local Binary Count for Rotation Invariant Texture Classification.
IEEE Trans. Image Processing, 2012

Multiscale Distance Matrix for Fast Plant Leaf Recognition.
IEEE Trans. Image Processing, 2012

Robust Classification Method of Tumor Subtype by Using Correlation Filters.
IEEE/ACM Trans. Comput. Biology Bioinform., 2012

Assessing and predicting protein interactions by combining manifold embedding with multiple information integration.
BMC Bioinformatics, 2012

Introduction: advanced intelligent computing theories and their applications in bioinformatics.
BMC Bioinformatics, 2012

A scalable rayleigh-ritz style method for large scale Canonical Correlation Analysis.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Robust and Efficient Subspace Segmentation via Least Squares Regression.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Molecular Pattern Discovery Based on Penalized Matrix Decomposition.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Metasample-Based Sparse Representation for Tumor Classification.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Selecting salient objects in real scenes: An oscillatory correlation model.
Neural Networks, 2011

Special issue on advanced intelligent computing theory and methodology.
Computers in Human Behavior, 2011

2010
An efficient local Chan-Vese model for image segmentation.
Pattern Recognition, 2010

An improved approximation approach incorporating particle swarm optimization and a priori information into neural networks.
Neural Computing and Applications, 2010

Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate.
IJPRAI, 2010

Maximum margin criterion with tensor representation.
Neurocomputing, 2010

Locality preserving discriminant projections for face and palmprint recognition.
Neurocomputing, 2010

A method of tumor classification based on wavelet packet transforms and neighborhood rough set.
Comp. in Bio. and Med., 2010

Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction.
Comp. in Bio. and Med., 2010

Gene expression data classification using locally linear discriminant embedding.
Comp. in Bio. and Med., 2010

A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.
BMC Bioinformatics, 2010

APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility.
BMC Bioinformatics, 2010

Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data.
Bioinformatics, 2010

Two-dimensional Neighborhood Discriminant Projection.
Proceedings of the International Joint Conference on Neural Networks, 2010

Dimensionality reduction based on minimax risk criterion for face recognition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Orthogonal linear local spline discriminant embedding for face recognition.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
A Novel Density-Based Clustering Framework by Using Level Set Method.
IEEE Trans. Knowl. Data Eng., 2009

Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection.
IEEE Trans. Information Technology in Biomedicine, 2009

Advanced intelligent computing theory and methodology.
Pattern Recognition Letters, 2009

Knowledge Management for Autonomous Systems and Computational Intelligence.
J. UCS, 2009

Supervised feature extraction based on orthogonal discriminant projection.
Neurocomputing, 2009

Finding motif pairs in the interactions between heterogeneous proteins via bootstrapping and boosting.
BMC Bioinformatics, 2009

Fast Palmprint Retrieval Using Principal Lines.
Proceedings of the IEEE International Conference on Systems, 2009

Inferring Protein Interactions from Sequence using Support Vector Machine.
Proceedings of the International Joint Conference on Neural Networks, 2009

An oscillatory correlation model of object-based attention.
Proceedings of the International Joint Conference on Neural Networks, 2009

A Novel Local Sensitive Frontier Analysis for Feature Extraction.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

The analysis of microarray datasets using a genetic programming.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009

2008
A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks.
IEEE Trans. Neural Networks, 2008

Locally linear discriminant embedding: An efficient method for face recognition.
Pattern Recognition, 2008

Feature extraction using constrained maximum variance mapping.
Pattern Recognition, 2008

Palmprint verification based on robust line orientation code.
Pattern Recognition, 2008

Palmprint verification based on principal lines.
Pattern Recognition, 2008

Grooming of dynamic traffic in WDM star and tree networks using a genetic algorithm.
Photonic Network Communications, 2008

A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks.
Neural Computing and Applications, 2008

A Novel Multi-Layer Level Set Method for Image Segmentation.
J. UCS, 2008

Modified constrained learning algorithms incorporating additional functional constraints into neural networks.
Inf. Sci., 2008

Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function.
IJBRA, 2008

Gene Expression Data Classification Using Consensus Independent Component Analysis.
Genomics, Proteomics & Bioinformatics, 2008

Cancer classification using Rotation Forest.
Comp. in Bio. and Med., 2008

Classification of plant leaf images with complicated background.
Applied Mathematics and Computation, 2008

Special issue on advanced intelligent computing theory and methodology in applied mathematics and computation.
Applied Mathematics and Computation, 2008

Palmprint identification based on directional representation.
Proceedings of the IEEE International Conference on Systems, 2008

Improving the robustness of ISOMAP by de-noising.
Proceedings of the International Joint Conference on Neural Networks, 2008

Constrained Maximum Variance Mapping.
Proceedings of the International Joint Conference on Neural Networks, 2008

An improvement on learning with local and global consistency.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

One Class Support Vector Machines for Distinguishing Photographs and Graphics.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

A Novel Spike Sorting Method Based on Semi-supervised Learning.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

2007
A New Constrained Independent Component Analysis Method.
IEEE Trans. Neural Networks, 2007

Interest Operator versus Gabor filtering for facial imagery classification.
Pattern Recognition Letters, 2007

Extracting gene regulation information for cancer classification.
Pattern Recognition, 2007

MISEP Method for Postnonlinear Blind Source Separation.
Neural Computation, 2007

Palmprint recognition with 2DPCA+PCA based on modular neural networks.
Neurocomputing, 2007

Advanced Neurocomputing Theory and Methodology.
Neurocomputing, 2007

Shape recognition based on neural networks trained by differential evolution algorithm.
Neurocomputing, 2007

Special issue on intelligent computing theory and methodology.
Applied Mathematics and Computation, 2007

Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007

Application of Self-Organizing Map in Aerosol Single Particles Data Clustering.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Hybrid HMM/ANN Based Approach for Online Signature Verification.
Proceedings of the International Joint Conference on Neural Networks, 2007

Palmprint Verification Based on Robust Orientation Code.
Proceedings of the International Joint Conference on Neural Networks, 2007

Prediction of Long-range Contacts from Sequence Profile.
Proceedings of the International Joint Conference on Neural Networks, 2007

Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method.
Proceedings of the Third International Conference on Natural Computation, 2007

Long-Range Temporal Correlations in the Spontaneous in vivo Activity of Interneuron in the Mouse Hippocampus.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

An evolutionary modular neural network for unbalanced pattern classifications.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Microarray data prediction by evolutionary classifier ensemble system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Improving the performance of ICA based microarray data prediction models with genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Pattern classification with a PSO optimization based elliptical basis function neural networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
A Hybrid Forward Algorithm for RBF Neural Network Construction.
IEEE Trans. Neural Networks, 2006

Regulation probability method for gene selection.
Pattern Recognition Letters, 2006

Classifying protein sequences using hydropathy blocks.
Pattern Recognition, 2006

Editorial.
IJPRAI, 2006

Nonnegative independent component analysis based on minimizing mutual information technique.
Neurocomputing, 2006

Feature selection in independent component subspace for microarray data classification.
Neurocomputing, 2006

A novel adaptive sequential niche technique for multimodal function optimization.
Neurocomputing, 2006

Optimal selection of time lags for TDSEP based on genetic algorithm.
Neurocomputing, 2006

Noise removal using a novel non-negative sparse coding shrinkage technique.
Neurocomputing, 2006

Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network.
Neurocomputing, 2006

Improved extreme learning machine for function approximation by encoding a priori information.
Neurocomputing, 2006

A novel full structure optimization algorithm for radial basis probabilistic neural networks.
Neurocomputing, 2006

The Forecast of the Postoperative Survival Time of Patients Suffered from Non-small Cell Lung Cancer Based on Pca and Extreme Learning Machine.
Int. J. Neural Syst., 2006

Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346].
Digital Signal Processing, 2006

Independent component analysis-based penalized discriminant method for tumor classification using gene expression data.
Bioinformatics, 2006

Improved constrained learning algorithms by incorporating additional functional constraints into neural networks.
Applied Mathematics and Computation, 2006

Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Long-Range Interaction Analysis using Principal Component Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2006

Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition.
Proceedings of the Intelligent Computing, 2006

Gene Selection by Cooperative Competition Clustering.
Proceedings of the Computational Intelligence and Bioinformatics, 2006

Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

2005
Fast Modular network implementation for support vector machines.
IEEE Trans. Neural Networks, 2005

Zeroing polynomials using modified constrained neural network approach.
IEEE Trans. Neural Networks, 2005

Lidar signal denoising using least-squares support vector machine.
IEEE Signal Process. Lett., 2005

Improving protein secondary structure prediction by using the residue conformational classes.
Pattern Recognition Letters, 2005

Combining a binary input encoding scheme with RBFNN for globulin protein inter-residue contact map prediction.
Pattern Recognition Letters, 2005

Global Stability of a General Class of Discrete-Time Recurrent Neural Networks.
Neural Processing Letters, 2005

A novel approach to extracting features from motif content and protein composition for protein sequence classification.
Neural Networks, 2005

Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images.
IEEE Geosci. Remote Sensing Lett., 2005

A novel robust regression approach of Lidar signal based on modified least squares support vector machine.
IJPRAI, 2005

Using batch algorithm for kernel blind source separation.
Neurocomputing, 2005

Extracting nonlinear features for multispectral images by FCMC and KPCA.
Digital Signal Processing, 2005

Determining the centers of radial basis probabilistic neural networks by recursive orthogonal least square algorithms.
Applied Mathematics and Computation, 2005

A new partitioning neural network model for recursively finding arbitrary roots of higher order arbitrary polynomials.
Applied Mathematics and Computation, 2005

A case study for constrained learning neural root finders.
Applied Mathematics and Computation, 2005

Shape matching using fuzzy discrete particle swarm optimization.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A novel BP-based image retrieval system.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Image Denoising Using Non-Negative Sparse Coding Shrinkage Algorithm.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
A constructive approach for finding arbitrary roots of polynomials by neural networks.
IEEE Trans. Neural Networks, 2004

Human face recognition based on multi-features using neural networks committee.
Pattern Recognition Letters, 2004

A Neural Root Finder of Polynomials Based on Root Moments.
Neural Computation, 2004

Prediction of inter-residue contacts map based on genetic algorithm optimized radial basis function neural network and binary input encoding scheme.
Journal of Computer-Aided Molecular Design, 2004

Genetic Optimization Of Radial Basis Probabilistic Neural Networks.
IJPRAI, 2004

Attractability and location of equilibrium point of cellular neural networks with time-varying delays.
Int. J. Neural Syst., 2004

Finding roots of arbitrary high order polynomials based on neural network recursive partitioning method.
Science in China Series F: Information Sciences, 2004

Binary Input Encoding Strategy Based Neural Network for Globulin Protein Inter-residue Contacts Map Prediction.
Proceedings of the Advances in Neural Networks, 2004

Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks.
Proceedings of the Advances in Neural Networks, 2004

Stability Analysis of Discrete-Time Cellular Neural Networks.
Proceedings of the Advances in Neural Networks, 2004

A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns.
Proceedings of the Advances in Neural Networks, 2004

Support Vector Machine Committee for Classification.
Proceedings of the Advances in Neural Networks, 2004

Extracting Target Information in Multispectral Images Using a Modified KPCA Approach.
Proceedings of the Advances in Neural Networks, 2004

Multiple Classifiers Fusion System Based on the Radial Basis Probabilistic Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

A Novel Hybrid GA/SVM System for Protein Sequences Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Global Convergence of Steepest Descent for Quadratic Functions.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Protein secondary structure prediction based on the amino acids conformational classification and neural network technique.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Global exponential stability of delayed Cohen-Grossberg neural networks.
Proceedings of the 8th International Conference on Control, 2004

Image compression using principal component neural network.
Proceedings of the 8th International Conference on Control, 2004

Radial basis function neural network optimized by a genetic algorithm for soybean protein sequence residue spatial distance prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

On the Choices of the Parameters in General Constrained Learning Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

On the Comparisons between RLSA and CLA for Solving Arbitrary Linear Simultaneous Equations.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Finding the maximum modulus roots of polynomials based on constrained neural networks.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

1999
The "bottleneck" behaviours in linear feedforward neural network classifiers and their breakthrough.
J. Comput. Sci. Technol., 1999

Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets.
IJPRAI, 1999

A Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets.
IJPRAI, 1999

Gradient-Newton Learning Algorithm for Feedforward Neural Networks.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

Neural Pattern Analyses Based on a Novel Error Cost Function.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999

A fusion design of linear feedforward neural networks for pattern classification.
Proceedings of the International Joint Conference Neural Networks, 1999

On the conditions of outer-supervised feedforward neural networks for null cost learning.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
The local minima-free condition of feedforward neural networks for outer-supervised learning.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1998

1997
The United Adaptive Learning Algorithm for The Link Weights and Shape Parameter in RBFN for Pattern Recognition.
IJPRAI, 1997

1995
Application of function link net to recognition of radar targets.
Proceedings of the 1995 International Conference on Acoustics, 1995


  Loading...