Junbin Gao

According to our database1, Junbin Gao authored at least 222 papers between 1993 and 2019.

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Bibliography

2019
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations.
IEEE Trans. Neural Netw. Learning Syst., 2019

Multiview Subspace Clustering via Tensorial t-Product Representation.
IEEE Trans. Neural Netw. Learning Syst., 2019

Solving Partial Least Squares Regression via Manifold Optimization Approaches.
IEEE Trans. Neural Netw. Learning Syst., 2019

Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification.
IEEE Trans. Multimedia, 2019

Tensorizing Restricted Boltzmann Machine.
TKDD, 2019

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.
IEEE Trans. Cybernetics, 2019

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.
Remote Sensing, 2019

UP-CNN: Un-pooling augmented convolutional neural network.
Pattern Recognition Letters, 2019

Boosting sensitivity of a retinal vessel segmentation algorithm.
Pattern Anal. Appl., 2019

Coupled-learning convolutional neural networks for object recognition.
Multimedia Tools Appl., 2019

Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation.
Expert Syst. Appl., 2019

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review.
IEEE Access, 2019

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder.
IEEE Access, 2019

2018
On Selecting Effective Patterns for Fast Support Vector Regression Training.
IEEE Trans. Neural Netw. Learning Syst., 2018

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization.
IEEE Trans. Neural Netw. Learning Syst., 2018

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.
IEEE Trans. Neural Netw. Learning Syst., 2018

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds.
TKDD, 2018

Progressive Hard-Mining Network for Monocular Depth Estimation.
IEEE Trans. Image Processing, 2018

Subspace Clustering via Learning an Adaptive Low-Rank Graph.
IEEE Trans. Image Processing, 2018

Localized LRR on Grassmann Manifold: An Extrinsic View.
IEEE Trans. Circuits Syst. Video Techn., 2018

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification.
Pattern Recognition, 2018

Deep adaptive feature embedding with local sample distributions for person re-identification.
Pattern Recognition, 2018

Low Rank Representation on SPD matrices with Log-Euclidean metric.
Pattern Recognition, 2018

Multi-Dimensional Sparse Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust Multinomial Logistic Regression Based on RPCA.
J. Sel. Topics Signal Processing, 2018

Low-rank structure preserving for unsupervised feature selection.
Neurocomputing, 2018

Locally adaptive sparse representation on Riemannian manifolds for robust classification.
Neurocomputing, 2018

SRNN: Self-regularized neural network.
Neurocomputing, 2018

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning.
Neurocomputing, 2018

Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data.
Neurocomputing, 2018

Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation.
IEEE Access, 2018

Malware Detection for Healthcare Data Security.
Proceedings of the Security and Privacy in Communication Networks, 2018

Branched Convolutional Neural Networks for Face Alignment.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Shared Deep Kernel Learning for Dimensionality Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Cyclone Track Prediction with Matrix Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Functional Locality Preserving Projection for Dimensionality Reduction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Security and Privacy Protection for eHealth Data.
Proceedings of the Future Network Systems and Security - 4th International Conference, 2018

Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

SPAARC: A Fast Decision Tree Algorithm.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Retinal Blood Vessels Extraction of Challenging Images.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Locality Preserving Projection Based on F-norm.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Zero-Attracting Recursive Least Squares Algorithms.
IEEE Trans. Vehicular Technology, 2017

Log-Euclidean Metrics for Contrast Preserving Decolorization.
IEEE Trans. Image Processing, 2017

A Framework of Mixed Sparse Representations for Remote Sensing Images.
IEEE Trans. Geoscience and Remote Sensing, 2017

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance.
IEEE Trans. Circuits Syst. Video Techn., 2017

Contrast normalization steps for increased sensitivity of a retinal image segmentation method.
Signal, Image and Video Processing, 2017

A global-local affinity matrix model via EigenGap for graph-based subspace clustering.
Pattern Recognition Letters, 2017

Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey.
Pattern Anal. Appl., 2017

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.
IEEE Geosci. Remote Sensing Lett., 2017

Finding the samples near the decision plane for support vector learning.
Inf. Sci., 2017

l1-norm penalised orthogonal forward regression.
Int. J. Systems Science, 2017

Robust human detection and localization in security applications.
Concurrency and Computation: Practice and Experience, 2017

Fast and Robust Biometric Authentication Scheme Using Human Ear.
Proceedings of the Security and Privacy in Communication Networks, 2017

Matrix Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Matrix variate RBM model with Gaussian distributions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Locality Preserving Projections for Grassmann manifold.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Retinal blood vessel extraction method based on basic filtering schemes.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

L1-2DPCA Revisit via Optimization on Product Manifolds.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Low-Rank-Sparse Subspace Representation for Robust Regression.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Tensor LRR and Sparse Coding-Based Subspace Clustering.
IEEE Trans. Neural Netw. Learning Syst., 2016

Ordered Subspace Clustering With Block-Diagonal Priors.
IEEE Trans. Cybernetics, 2016

Multi-loss Regularized Deep Neural Network.
IEEE Trans. Circuits Syst. Video Techn., 2016

Modulus Methods for Nonnegatively Constrained Image Restoration.
SIAM J. Imaging Sciences, 2016

Extended nearest neighbor chain induced instance-weights for SVMs.
Pattern Recognition, 2016

Laplacian Regularized Low-Rank Representation and Its Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

LRSR: Low-Rank-Sparse representation for subspace clustering.
Neurocomputing, 2016

Nonparametric tensor dictionary learning with beta process priors.
Neurocomputing, 2016

A Fast Algorithm to Estimate the Square Root of Probability Density Function.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Distance Measurement of Objects using Stereo Vision.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Biometric Authentication Using Facial Recognition.
Proceedings of the Security and Privacy in Communication Networks, 2016

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Fuzzy rule based approach for face and facial feature extraction in biometric authentication.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Neural network based denoised methods for retinal fundus images and MRI brain images.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Matrix Variate Restricted Boltzmann Machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Manifold optimization for nonnegative coefficient logistic regression.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Detection of Human Faces Using Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fuzzy logic based filtering for image de-noising.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Automatic Retinal Vessel Extraction Algorithm.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

MLE-Based Learning on Grassmann Manifolds.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Product Grassmann Manifold Representation and Its LRR Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Sparse Density Estimation on the Multinomial Manifold.
IEEE Trans. Neural Netw. Learning Syst., 2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.
IEEE Trans. Image Processing, 2015

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.
IEEE Trans. Image Processing, 2015

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization.
IEEE Trans. Cybernetics, 2015

Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups.
IEEE Trans. Circuits Syst. Video Techn., 2015

Facial Analysis With a Lie Group Kernel.
IEEE Trans. Circuits Syst. Video Techn., 2015

Relations Among Some Low-Rank Subspace Recovery Models.
Neural Computation, 2015

Relevance units machine based dimensional and continuous speech emotion prediction.
Multimedia Tools Appl., 2015

Random spatial subspace clustering.
Knowl.-Based Syst., 2015

Image super-resolution via 2D tensor regression learning.
Computer Vision and Image Understanding, 2015

Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models.
CSSP, 2015

Conics Detection Method based on Pascal's Theorem.
Proceedings of the VISAPP 2015, 2015

Human Surveillance System for Security Application.
Proceedings of the Security and Privacy in Communication Networks, 2015

Image Spam Classification Using Neural Network.
Proceedings of the Security and Privacy in Communication Networks, 2015

Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Sparse density estimation on multinomial manifold combining local component analysis.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Low rank sequential subspace clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Study of the Noise Level in the Colour Fundus Images.
Proceedings of the Data Science - Second International Conference, 2015

Active Class Discovery by Querying Pairwise Label Homogeneity.
Proceedings of the Data Science - Second International Conference, 2015

Selective Multi-Source Total Variation Image Restoration.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Learning graph structure for multi-label image classification via clique generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold.
IEEE Trans. Neural Netw. Learning Syst., 2014

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems.
IEEE Trans. Neural Netw. Learning Syst., 2014

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines.
IEEE Trans. Cybernetics, 2014

Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling.
Sensors, 2014

Transfer dimensionality reduction by Gaussian process in parallel.
Knowl. Inf. Syst., 2014

Blind image deblurring via coupled sparse representation.
J. Visual Communication and Image Representation, 2014

Robust latent low rank representation for subspace clustering.
Neurocomputing, 2014

Linear time Principal Component Pursuit and its extensions using ℓ1 filtering.
Neurocomputing, 2014

Fast identification algorithms for Gaussian process model.
Neurocomputing, 2014

Group subset selection for linear regression.
Computational Statistics & Data Analysis, 2014

An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm.
BMC Bioinformatics, 2014

A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization.
Applied Comp. Int. Soft Computing, 2014

Rock Fragment Boundary Detection Using Compressed Random Features.
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2014

Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features.
Proceedings of the VISAPP 2014, 2014

Gaussian Processes Autoencoder for Dimensionality Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Linear Subspace Learning via sparse dimension reduction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Dimensionality reduction assisted tensor clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fuzzy c-means clustering with a new regularization term for image segmentation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Tensor LRR based subspace clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Joint multiple dictionary learning for Tensor sparse coding.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Smoothing Security Prices.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Tensor Regression Based on Linked Multiway Parameter Analysis.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Blocky artifact removal with low-rank matrix recovery.
Proceedings of the IEEE International Conference on Acoustics, 2014

Affinity Pansharpening and Image Fusion.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

The W-Penalty and Its Application to Alpha Matting with Sparse Labels.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Image Segmentation Based on Spatially Coherent Gaussian Mixture Model.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Image Segmentation Using Dictionary Learning and Compressed Random Features.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Subspace Clustering for Sequential Data.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Low Rank Representation on Grassmann Manifolds.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection.
IEEE Trans. Image Processing, 2013

On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning.
Neural Networks, 2013

Filtering financial time series by least squares.
Int. J. Machine Learning & Cybernetics, 2013

Particle swarm optimisation assisted classification using elastic net prefiltering.
Neurocomputing, 2013

Dimensionality Reduction with Dimension Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Large scale hyperspectral data segmentation by random spatial subspace clustering.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Robust face recognition via double low-rank matrix recovery for feature extraction.
Proceedings of the IEEE International Conference on Image Processing, 2013

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution.
Proceedings of the IEEE International Conference on Image Processing, 2013

Sparse model construction using coordinate descent optimization.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Image Matting for Sparse User Input by Iterative Refinement.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Endmember Extraction by Exemplar Finder.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2012

Dimensionality reduction via compressive sensing.
Pattern Recognition Letters, 2012

CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Optimizing the moving average.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Thin Plate Spline Latent Variable Models for dimensionality reduction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

The Image Matting Method with Regularized Matte.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

3D motion estimation for 3D video coding.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Natural Image Matting with Total Variation Regularisation.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Transposed Low Rank Representation for Image Classification.
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Constrained Grouped Sparsity.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives.
IJPRAI, 2011

A novel approach in discovering significant interactions from TCM patient prescription data.
IJDMB, 2011

Gaussian Process for Dimensionality Reduction in Transfer Learning.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Application of Learning from Demonstration to a Mining Tunnel Inspection Robot.
Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011

Local Feature Based Tensor Kernel for Image Manifold Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Multi-task beta process sparse kernel machines.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Image Matting via Local Tangent Space Alignment.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Classification of Hand-Written Digits Using Chordiograms.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Analysis of herbal formulation in TCM: Infertility as a case study.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Penalized Least Squares for Smoothing Financial Time Series.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Relevance units latent variable model and nonlinear dimensionality reduction.
IEEE Trans. Neural Networks, 2010

Sparse kernel learning with LASSO and Bayesian inference algorithm.
Neural Networks, 2010

A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback.
IJPRAI, 2010

Learning Gradients with Gaussian Processes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Efficient character segmentation on car license plates.
Proceedings of the 11th International Conference on Control, 2010

Dimensionality Reduction for Classification through Visualisation Using L1SNE.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009
Comprehensive Analysis for the Local Fisher Discriminant Analysis.
IJPRAI, 2009

Robust multivariate L1 principal component analysis and dimensionality reduction.
Neurocomputing, 2009

Sparse Kernel Learning and the Relevance Units Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

A User-Centered Framework for Adaptive Fingerprint Identification.
Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009

Initiation of Evolutionary Algorithms.
Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, 2009

Termination Criteria for Evolutionary Algorithms.
Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, 2009

Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Twin Kernel Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Robust L1 Principal Component Analysis and Its Bayesian Variational Inference.
Neural Computation, 2008

Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Using a Stochastic Funnel to find NLR Starting Values.
Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

L1 LASSO Modeling and Its Bayesian Inference.
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007
Significant vector learning to construct sparse kernel regression models.
Neural Networks, 2007

A new algorithm for removing node overlapping in graph visualization.
Inf. Sci., 2007

Simulated maximum likelihood method for estimating kinetic rates in gene expression.
Bioinformatics, 2007

The Kernelized Geometrical Bisection Methods.
Proceedings of the Advances in Neural Networks, 2007

Twin Kernel Embedding with Back Constraints.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Discriminant Analysis for Undersampled Data.
Proceedings of the Integrating Artificial Intelligence and Data Mining, 2007

Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Mixture of the Robust L1 Distributions and Its Applications.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006
The construction of wavelet network for speech signal processing.
Neural Computing and Applications, 2006

Manifolds of Bag of Pixels: A Better Representation for Image Recognition.
Proceedings of the IEEE International Conference on Systems, 2006

Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

A multi-step strategy for approximate similarity search in image databases.
Proceedings of the Database Technologies 2006, 2006

2005
Sensitivity analysis applied to the construction of radial basis function networks.
Neural Networks, 2005

E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector.
Proceedings of the 7th International Conference on Electronic Commerce, 2005

2004
On the construction of support wavelet network.
Proceedings of the IEEE International Conference on Systems, 2004

Critical Vector Learning to Construct RBF Classifiers.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Radial Basis Function Network Pruning by Sensitivity Analysis.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
SVM regression through variational methods and its sequential implementation.
Neurocomputing, 2003

Mean field method for the support vector machine regression.
Neurocomputing, 2003

2002
A Probabilistic Framework for SVM Regression and Error Bar Estimation.
Machine Learning, 2002

Some remarks on Kalman filters for the multisensor fusion.
Information Fusion, 2002

Adapting Kernels by Variational Approach in SVM.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces.
Neural Computation, 2001

2000
Adaptive linear finite-element method for modelling nonlinear dynamic systems.
Int. J. Systems Science, 2000

1993
A C 2 finite element and interpolation.
Computing, 1993


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