Junbin Gao
According to our database^{1},
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 tProduct Representation.
IEEE Trans. Neural Netw. Learning Syst., 2019
Solving Partial Least Squares Regression via Manifold Optimization Approaches.
IEEE Trans. Neural Netw. Learning Syst., 2019
WhereandWhen to Look: Deep Siamese Attention Networks for VideoBased Person ReIdentification.
IEEE Trans. Multimedia, 2019
Tensorizing Restricted Boltzmann Machine.
TKDD, 2019
Deep AttentionBased Spatially Recursive Networks for FineGrained Visual Recognition.
IEEE Trans. Cybernetics, 2019
Laplacian Regularized SpatialAware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.
Remote Sensing, 2019
UPCNN: Unpooling augmented convolutional neural network.
Pattern Recognition Letters, 2019
Boosting sensitivity of a retinal vessel segmentation algorithm.
Pattern Anal. Appl., 2019
Coupledlearning 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 LowRank 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 HardMining Network for Monocular Depth Estimation.
IEEE Trans. Image Processing, 2018
Subspace Clustering via Learning an Adaptive LowRank Graph.
IEEE Trans. Image Processing, 2018
Localized LRR on Grassmann Manifold: An Extrinsic View.
IEEE Trans. Circuits Syst. Video Techn., 2018
Whatandwhere to match: Deep spatially multiplicative integration networks for person reidentification.
Pattern Recognition, 2018
Deep adaptive feature embedding with local sample distributions for person reidentification.
Pattern Recognition, 2018
Low Rank Representation on SPD matrices with LogEuclidean metric.
Pattern Recognition, 2018
MultiDimensional Sparse Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Robust Multinomial Logistic Regression Based on RPCA.
J. Sel. Topics Signal Processing, 2018
Lowrank structure preserving for unsupervised feature selection.
Neurocomputing, 2018
Locally adaptive sparse representation on Riemannian manifolds for robust classification.
Neurocomputing, 2018
SRNN: Selfregularized neural network.
Neurocomputing, 2018
Fast optimization algorithm on Riemannian manifolds and its application in lowrank learning.
Neurocomputing, 2018
Classification of matrixvariate FisherBingham distribution via Maximum Likelihood Estimation using manifold valued data.
Neurocomputing, 2018
Impact of ICABased 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 TwentySeventh 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 UNet Model: Retinal Vessels Segmentation using Dice Loss.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
Implementation and Performance Analysis of DataMining 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 Fnorm.
Proceedings of the ThirtySecond AAAI Conference on Artificial Intelligence, 2018
2017
ZeroAttracting Recursive Least Squares Algorithms.
IEEE Trans. Vehicular Technology, 2017
LogEuclidean 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 globallocal affinity matrix model via EigenGap for graphbased 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
l1norm 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 TwentySixth 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 LowRank 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
L12DPCA Revisit via Optimization on Product Manifolds.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
LowRankSparse 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 CodingBased Subspace Clustering.
IEEE Trans. Neural Netw. Learning Syst., 2016
Ordered Subspace Clustering With BlockDiagonal Priors.
IEEE Trans. Cybernetics, 2016
Multiloss 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 instanceweights for SVMs.
Pattern Recognition, 2016
Laplacian Regularized LowRank 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: LowRankSparse 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 contrastsensitive 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 denoising.
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
MLEBased 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 LargeScale TraceNorm Minimization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Mixture of BilateralProjection TwoDimensional 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 LowRank Representation for Subspace Clustering.
IEEE Trans. Image Processing, 2015
Image Outlier Detection and Feature Extraction via L1NormBased 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 LowRank 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 superresolution via 2D tensor regression learning.
Computer Vision and Image Understanding, 2015
BandLevel Correlation Noise Modeling for WynerZiv 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 MultiSource Total Variation Image Restoration.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
Learning graph structure for multilabel image classification via clique generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
An OrderedPatchBased Image Classification Approach on the Image Grassmannian Manifold.
IEEE Trans. Neural Netw. Learning Syst., 2014
ComplexValued BSpline 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 SpatioTemporal 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 ℓ_{1} 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 multiareas genetic algorithm.
BMC Bioinformatics, 2014
A Decomposition Model for HPLCDAD 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 cmeans 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 lowrank 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 WPenalty 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 HPLCDAD and it solution by multitarget 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: UniteandDivide 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 YingYang 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 lowrank 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 superresolution.
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 HPLCDAD and its solution by multiareas 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 coappearance based analysis for Incorrect Records and Attributevalues 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
ContentBased 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
Multitask 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 HandWritten 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 UserCentered 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 Nonvectorial 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 highresolution 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 Nonvectorial Data.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
A multistep 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
Eprocurement assimilation: an assessment of ebusiness 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 finiteelement method for modelling nonlinear dynamic systems.
Int. J. Systems Science, 2000
1993
A C ^{2} finite element and interpolation.
Computing, 1993