Guang Dai

发表

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).

Face Recognition Using Novel LDA-Based Algorithms

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

Research on Magnetic Flux Leakage Signals Quantity Technology of Tank Floor Corrosion Defects Based on Artificial Neural Network

Wei Li, Zhijun Yang, Guang Dai, 2009, 2009 Fifth International Conference on Natural Computation.

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

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

Face recognition with the robust feature extracted by the generalized Foley-Sammon transform

Yuntao Qian, Guang Dai, 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

Matrix-Variate Dirichlet Process Mixture Models

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

Face recognition using a kernel fractional-step discriminant analysis algorithm

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

Sparse Unsupervised Dimensionality Reduction Algorithms

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

Bayesian Generalized Kernel Models

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

A regularization framework for multiclass classification: A deterministic annealing approach

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

Modified kernel-based nonlinear feature extraction [face recognition example]

Sen Jia, Yuntao Qian, Guang Dai, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

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

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

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

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..

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).

Kernel selection forl semi-supervised kernel machines

Dit-Yan Yeung, Guang Dai, 2007, ICML '07.

Coherence functions with applications in large-margin classification methods

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

A Balanced Assignment Mechanism for Online Taxi Recommendation

Jianbin Huang, Heli Sun, Guang Dai, 2017, 2017 18th IEEE International Conference on Mobile Data Management (MDM).

A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis

Zhihua Zhang, Michael I. Jordan, Guang Dai, 2009, ECML/PKDD.

Regularized Discriminant Analysis, Ridge Regression and Beyond

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

Nonlinear dimensionality reduction for classification using kernel weighted subspace method

Dit-Yan Yeung, Guang Dai, 2005, IEEE International Conference on Image Processing 2005.

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

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

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

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

Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion

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

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..

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

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

By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition

Yuntao Qian, Guang Dai, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Feature Extraction Method Based on the Generalized Weighted Foley-Sammon Transform in High Dimensional Spaces

Lin Zhang, Changle Zhou, Guang Dai, 2003, IICAI.

Tensor Embedding Methods

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

A non-convex relaxation approach to sparse dictionary learning

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

Local Discriminant Embedding with Tensor Representation

Jian Xia, Dit-Yan Yeung, Guang Dai, 2006, 2006 International Conference on Image Processing.

Bayesian Generalized Kernel Mixed Models

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

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..

Optimal Scoring for Unsupervised Learning

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

Matrix-Variate Dirichlet Process Priors with Applications

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

Face recognition based on independent Gabor features and support vector machine

Guang Dai, Wanlei Chi, Lin Zhang, 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

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