Guang Dai

发表

Matrix-Variate Dirichlet Process Mixture Models

Zhihua Zhang, Michael I. Jordan, Guang Dai, 2010, AISTATS.

Tensor Embedding Methods

Dit-Yan Yeung, Guang Dai, Guang Dai, 2006, AAAI.

Bayesian Generalized Kernel Models

Zhihua Zhang, Donghui Wang, Michael I. Jordan, 2010, AISTATS.

Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition

Yuntao Qian, Guang Dai, Guang Dai, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion

Hong Chang, Dit-Yan Yeung, Guang Dai, 2006, ECCV.

An advanced segmental semi-Markov model based online series pattern detection

Yuntao Qian, Guang Dai, Sen Jia, 2004, ICPR 2004.

Robust feature extracted by the generalized optimal discriminant vectors for face recognition

Guang Dai, Y. Qian, Sen Jia, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Matrix-Variate Dirichlet Process Priors with Applications

Michael I. Jordan, Guang Dai, Dakan Wang, 2014 .

A non-convex relaxation approach to sparse dictionary learning

Zhihua Zhang, Jingdong Wang, Xiang Ren, 2011, CVPR 2011.

A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning

Hong Chang, Dit-Yan Yeung, Guang Dai, 2007, IJCAI.

A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability

Hong Chang, Dit-Yan Yeung, Guang Dai, 2008, Neural Computation.

A hybrid online series pattern detection algorithm

Sen Jia, Yuntao Qian, Guang Dai, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

Multicategory large margin classification methods: Hinge losses vs. coherence functions

Zhihua Zhang, Cheng Chen, Wu-Jun Li, 2014, Artif. Intell..

Bayesian Generalized Kernel Mixed Models

Zhihua Zhang, Michael I. Jordan, Guang Dai, 2011, J. Mach. Learn. Res..

A regularization framework for multiclass classification: A deterministic annealing approach

Gang Wang, Zhihua Zhang, Frederick H. Lochovsky, 2010, Pattern Recognit..

An advanced segmental semi-Markov model based online series pattern detection

Sen Jia, Yuntao Qian, Guang Dai, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Regularized Discriminant Analysis, Ridge Regression and Beyond

Zhihua Zhang, Michael I. Jordan, Congfu Xu, 2010, J. Mach. Learn. Res..

Coherence functions with applications in large-margin classification methods

Zhihua Zhang, Michael I. Jordan, Guang Dai, 2012, J. Mach. Learn. Res..

Learning the kernel matrix by maximizing a KFD-based class separability criterion

Hong Chang, Dit-Yan Yeung, Guang Dai, 2007, Pattern Recognit..

Boosting Kernel Discriminant Analysis and Its Application on Tissue Classification of Gene Expression Data

Dit-Yan Yeung, Guang Dai, Guang Dai, 2007, IJCAI.

Face recognition using a kernel fractional-step discriminant analysis algorithm

Yuntao Qian, Dit-Yan Yeung, Guang Dai, 2007, Pattern Recognit..

A robust feature extraction framework for face recognition

Guang Dai, Yasutoshi Otani, Guang Dai, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

A kernel fractional-step nonlinear discriminant analysis for pattern recognition

Sen Jia, Yuntao Qian, Guang Dai, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Face Recognition Using Novel LDA-Based Algorithms

Yuntao Qian, Guang Dai, Guang Dai, 2004, ECAI.

A Gabor direct fractional-step LDA algorithm for face recognition

Yuntao Qian, Guang Dai, Guang Dai, 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

Sparse Unsupervised Dimensionality Reduction Algorithms

Zhihua Zhang, Congfu Xu, Guang Dai, 2010, ECML/PKDD.

An iterative SVM approach to feature selection and classification in high-dimensional datasets

Zhihua Zhang, Hui Qian, Guang Dai, 2013, Pattern Recognit..

Optimal Scoring for Unsupervised Learning

Zhihua Zhang, Guang Dai, Zhihua Zhang, 2009, NIPS.