James T. Kwok

Bahram Parvin

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Semi-supervised learning using label mean.

[BibT_eX]

[DOI]

Yufeng Li

Zhi-Hua Zhou

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Maximum Margin Clustering with Multivariate Loss Function.

[BibT_eX]

[DOI]

Bin Zhao

Changshui Zhang

Proceedings of the ICDM 2009, 2009

Accelerated Gradient Method for Multi-task Sparse Learning Problem.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2009, 2009

Unsupervised Maximum Margin Feature Selection with manifold regularization.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Matrix-Variate Factor Analysis and Its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Improved Nyström low-rank approximation and error analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Transferring Localization Models across Space.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transfer Learning via Dimensionality Reduction.

[BibT_eX]

[DOI]

Sinno Jialin Pan

Qiang Yang

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

A Class of Single-Class Minimax Probability Machines for Novelty Detection.

[BibT_eX]

[DOI]

Jacek M. Zurada

IEEE Trans. Neural Networks, 2007

Face recognition using spectral features.

[BibT_eX]

[DOI]

Pattern Recognit., 2007

SVDD-Based Pattern Denoising.

[BibT_eX]

[DOI]

Neural Comput., 2007

Surrogate maximization/minimization algorithms and extensions.

[BibT_eX]

[DOI]

Mach. Learn., 2007

End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach.

[BibT_eX]

[DOI]

Inf. Syst. Frontiers, 2007

Ensembles of Partially Trained SVMs with Multiplicative Updates.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Marginalized Multi-Instance Kernels.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Simpler core vector machines with enclosing balls.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

A novel incremental principal component analysis and its application for face recognition.

[BibT_eX]

[DOI]

Haitao Zhao

Pong Chi Yuen

IEEE Trans. Syst. Man Cybern. Part B, 2006

Generalized Core Vector Machines.

[BibT_eX]

[DOI]

Jacek M. Zurada

IEEE Trans. Neural Networks, 2006

Efficient hyperkernel learning using second-order cone programming.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2006

Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2006

Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2006

Model-based transductive learning of the kernel matrix.

[BibT_eX]

[DOI]

Mach. Learn., 2006

Large-Scale Sparsified Manifold Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Efficient kernel feature extraction for massive data sets.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Learning the Kernel in Mahalanobis One-Class Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Wavelet-Based Feature Extraction for Microarray Data Classification.

[BibT_eX]

[DOI]

Chen Liao

Proceedings of the International Joint Conference on Neural Networks, 2006

Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers.

[BibT_eX]

[DOI]

Ken Chen

Bao-Liang Lu

Proceedings of the International Joint Conference on Neural Networks, 2006

Multimodal Registration using the Discrete Wavelet Frame Transform.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Gene Feature Extraction Using T-Test Statistics and Kernel Partial Least Squares.

[BibT_eX]

[DOI]

Chen Liao

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Block-quantized kernel matrix for fast spectral embedding.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Locally adaptive classification piloted by uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

A regularization framework for multiple-instance learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Facial Image Reconstruction by SVDD-Based Pattern De-noising.

[BibT_eX]

[DOI]

Proceedings of the Advances in Biometrics, International Conference, 2006

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Diversified SVM Ensembles for Large Data Sets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2006, 2006

Accelerated Convergence Using Dynamic Mean Shift.

[BibT_eX]

[DOI]

Ming Tang

Proceedings of the Computer Vision, 2006

2005

Kernel Eigenvoice Speaker Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2005

Core Vector Machines: Fast SVM Training on Very Large Data Sets.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

Accurate and Low-cost Location Estimation Using Kernels.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Core Vector Regression for very large regression problems.

[BibT_eX]

[DOI]

Kimo T. Lai

Proceedings of the Machine Learning, 2005

Position estimation for wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation.

[BibT_eX]

[DOI]

Ming Tang

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Very Large SVM Training using Core Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Towards end-to-end privacy control in the outsourcing of marketing activities: a web service integration solution.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Electronic Commerce, 2005

2004

Fusing images with different focuses using support vector machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

The pre-image problem in kernel methods.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

Dissimilarity learning for nominal data.

[BibT_eX]

[DOI]

Pattern Recognit., 2004

Speedup of kernel eigenvoice speaker adaptation by embedded kernel PCA.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2004

A study of various composite kernels for kernel eigenvoice speaker adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Incremental PCA based face recognition.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Control, 2004

Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Linear dependency between ε and the input noise in ε-support vector regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2003

Texture classification using the support vector machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2003

Mining customer product ratings for personalized marketing.

[BibT_eX]

[DOI]

Decis. Support Syst., 2003

Eigenvoice Speaker Adaptation via Composite Kernel PCA.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Parametric Distance Metric Learning with Label Information.

[BibT_eX]

[DOI]

Proceedings of the IJCAI-03, 2003

Learning with Idealized Kernels.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2003

2002

Multifocus image fusion using artificial neural networks.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2002

Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images.

[BibT_eX]

[DOI]

Inf. Fusion, 2002

Improving De-Noising by Coefficient De-Noising and Dyadic Wavelet Transform.

[BibT_eX]

[DOI]

Hailong Zhu

Liangsheng Qu

Proceedings of the 16th International Conference on Pattern Recognition, 2002

Fusing Images with Multiple Focuses Using Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

2001

Combination of images with diverse focuses using the spatial frequency.

[BibT_eX]

[DOI]

Inf. Fusion, 2001

Linear Dependency between epsilon and the Input Noise in epsilon-Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Applying the Bayesian Evidence Framework to \nu -Support Vector Regression.

[BibT_eX]

[DOI]

Martin H. C. Law

Proceedings of the Machine Learning: EMCL 2001, 2001

Bayesian Support Vector Regression.

[BibT_eX]

[DOI]

Martin H. C. Law

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

The evidence framework applied to support vector machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2000

Rival Penalized Competitive Learning for Model-Based Sequence Clustering.

[BibT_eX]

[DOI]

Martin H. C. Law

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999

Moderating the outputs of support vector machine classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1999

Integrating the evidence framework and the support vector machine.

[BibT_eX]

[DOI]

Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998

Support vector mixture for classification and regression problems.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Automated Text Categorization Using Support Vector Machine.

[BibT_eX]

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Objective functions for training new hidden units in constructive neural networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

Constructive algorithms for structure learning in feedforward neural networks for regression problems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1997

1996

Use of bias term in projection pursuit learning improves approximation and convergence properties.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1996

Bayesian Regularization in Constructive Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 1996

1995

Improving the approximation and convergence capabilities of projection pursuit learning.

[BibT_eX]

[DOI]

Neural Process. Lett., 1995

Efficient cross-validation for feedforward neural networks.

[BibT_eX]

[DOI]

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1993

Experimental analysis of input weight freezing in constructive neural networks.

[BibT_eX]

[DOI]