Bao-Gang Hu

According to our database1, Bao-Gang Hu
  • authored at least 113 papers between 1997 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Data-Driven Synthesis of Cartoon Faces Using Different Styles.
IEEE Trans. Image Processing, 2017

Robust support vector machines based on the rescaled hinge loss function.
Pattern Recognition, 2017

A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos.
Pattern Recognition, 2017

Centroid-aware local discriminative metric learning in speaker verification.
Pattern Recognition, 2017

Parameter Identifiability in Statistical Machine Learning: A Review.
Neural Computation, 2017

Learning with Average Top-k Loss.
CoRR, 2017

Robust Localized Multi-view Subspace Clustering.
CoRR, 2017

Style-oriented representative paintings selection.
Proceedings of the SIGGRAPH Asia 2017 Posters, Bangkok, Thailand, November 27 - 30, 2017, 2017

Learning with Average Top-k Loss.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Self-Paced Learning: An Implicit Regularization Perspective.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Reply to "Reply to 'Determining structural identifiability of parameter learning machines'".
Neurocomputing, 2016

An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications.
Entropy, 2016

Self-Paced Learning: an Implicit Regularization Perspective.
CoRR, 2016

Locally Imposing Function for Generalized Constraint Neural Networks - A Study on Equality Constraints.
CoRR, 2016

Robust bounded logistic regression in the class imbalance problem.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised ranking of multi-attribute objects based on principal curves.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves.
IEEE Trans. Knowl. Data Eng., 2015

Multi-label learning with missing labels for image annotation and facial action unit recognition.
Pattern Recognition, 2015

An identifying function approach for determining parameter structure of statistical learning machines.
Neurocomputing, 2015

Improving Image Restoration with Soft-Rounding.
CoRR, 2015

Information Theory and its Relation to Machine Learning.
CoRR, 2015

Evaluating the Quality of Face Alignment without Ground Truth.
Comput. Graph. Forum, 2015

Generalized constraint neural network regression model subject to equality function constraints.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improving Image Restoration with Soft-Rounding.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

UniHIST: A unified framework for image restoration with marginal histogram constraints.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Global and local consistent multi-view subspace clustering.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Robust Recognition via Information Theoretic Learning
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-07416-0, 2014

What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers?
IEEE Trans. Neural Netw. Learning Syst., 2014

A New Strategy of Cost-Free Learning in the Class Imbalance Problem.
IEEE Trans. Knowl. Data Eng., 2014

Globality and locality incorporation in distance metric learning.
Neurocomputing, 2014

Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach.
Neurocomputing, 2014

Determining structural identifiability of parameter learning machines.
Neurocomputing, 2014

Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves.
CoRR, 2014

A study on cost behaviors of binary classification measures in class-imbalanced problems.
CoRR, 2014

Data-driven face cartoon stylization.
Proceedings of the SIGGRAPH Asia 2014 Technical Briefs, 2014

An asymmetric stagewise least square loss function for imbalanced classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An identifying function approach for determining structural identifiability of parameter learning machines.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-label Learning with Missing Labels.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Non-blind image restoration with symmetric generalized Pareto priors.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition.
IEEE Trans. Neural Netw. Learning Syst., 2013

A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications
CoRR, 2013

A New Strategy of Cost-Free Learning in the Class Imbalance Problem.
CoRR, 2013

Robust principal curves based on maximum correntropy criterion.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Cost-Free Learning for Support Vector Machines with a Reject Option.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Efficient and Scalable Information Geometry Metric Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Constrained Clustering and Its Application to Face Clustering in Videos.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Agglomerative Mean-Shift Clustering.
IEEE Trans. Knowl. Data Eng., 2012

Discriminative Feature Selection by Nonparametric Bayes Error Minimization.
IEEE Trans. Knowl. Data Eng., 2012

An optimal control methodology for plant growth - Case study of a water supply problem of sunflower.
Mathematics and Computers in Simulation, 2012

Real-Time Simulation of Aeolian Sand Movement and Sand Ripple Evolution: A Method Based on the Physics of Blown Sand.
J. Comput. Sci. Technol., 2012

Analytical Bounds between Entropy and Error Probability in Binary Classifications
CoRR, 2012

Discriminating classes collapsing for Globality and Locality Preserving Projections.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Learning in the Class Imbalance Problem When Costs are Unknown for Errors and Rejects.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Generalized Constraint Neural Network Regression Model Subject to Linear Priors.
IEEE Trans. Neural Networks, 2011

Robust Principal Component Analysis Based on Maximum Correntropy Criterion.
IEEE Trans. Image Processing, 2011

Maximum Correntropy Criterion for Robust Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

A Regularized Correntropy Framework for Robust Pattern Recognition.
Neural Computation, 2011

Information-Theoretic Measures for Objective Evaluation of Classifications
CoRR, 2011

What are the Differences between Bayesian Classifiers and Mutual-Information Classifiers?
CoRR, 2011

Density and neighbor Adaptive Information Theoretic Clustering.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Nonnegative sparse coding for discriminative semi-supervised learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

IdiotPencil: An Interactive System for Generating Pencil Drawings from 3D Polygonal Models.
Proceedings of the 12th International Conference on Computer-Aided Design and Computer Graphics, 2011

2010
Principal component analysis based on non-parametric maximum entropy.
Neurocomputing, 2010

Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Two-Phase Construction of Multilayer Perceptrons Using Information Theory.
IEEE Trans. Neural Networks, 2009

A generalized-constraint neural network model: Associating partially known relationships for nonlinear regressions.
Inf. Sci., 2009

Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth.
Ecological Informatics, 2009

Agglomerative Mean-Shift Clustering via Query Set Compression.
Proceedings of the SIAM International Conference on Data Mining, 2009

Variational Graph Embedding for Globally and Locally Consistent Feature Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Robust feature extraction via information theoretic learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

RBF networks for nonlinear models subject to linear constraints.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Derivations of Normalized Mutual Information in Binary Classifications.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Robust Discriminant Analysis Based on Nonparametric Maximum Entropy.
Proceedings of the Advances in Machine Learning, 2009

2008
Analytical study of a stochastic plant growth model: Application to the GreenLab model.
Mathematics and Computers in Simulation, 2008

Structural identifiability of generalized constraint neural network models for nonlinear regression.
Neurocomputing, 2008

An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification.
Neurocomputing, 2008

A Stagewise Least Square Loss Function for Classification.
Proceedings of the SIAM International Conference on Data Mining, 2008

Fighting WebSpam: Detecting Spam on the Graph Via Content and Link Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Sparse Kernel-Based Feature Weighting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Feature Selection by Nonparametric Bayes Error Minimization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A novel support vector machine with its features weighted by mutual information.
Proceedings of the International Joint Conference on Neural Networks, 2008

Reconstruction of Tree Crown Shape from Scanned Data.
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2008

Real-Time Marker Level Set on GPU.
Proceedings of the International Conference on Cyberworlds 2008, 2008

Objective Evaluation of 3D Reconstructed Plants and Trees from 2D Images.
Proceedings of the International Conference on Cyberworlds 2008, 2008

Efficient Feature Selection in the Presence of Outliers and Noises.
Proceedings of the Information Retrieval Technology, 2008

2007
A Fast Ambient Occlusion Method for Real-Time Plant Rendering.
J. Comput. Sci. Technol., 2007

Derivations of Normalized Mutual Information in Binary Classifications
CoRR, 2007

Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Fast Hydraulic Erosion Simulation and Visualization on GPU.
Proceedings of the Pacific Conference on Computer Graphics and Applications, 2007

Variational Bayes Inference for Generalized Associative Functional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

An Implementation of Web Based Query by Humming System.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006
Structural Factorization of Plants to Compute Their Functional and Architectural Growth.
Simulation, 2006

Reformulated Parametric Learning Based on Ordinary Differential Equations.
Proceedings of the Computational Intelligence, 2006

An Effective Stratified Sampling Scheme for Environment Maps with Median Cut Method.
Proceedings of the Third International Conference on Computer Graphics, 2006

2005
Sparse Kernel Fisher Discriminant Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions.
Proceedings of the Advances in Intelligent Computing, 2005

Modelling and Sampling Ramified Objects with Substructure-Based Method.
Proceedings of the Computational Science, 2005

2004
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks, 2004

2003
Fast Construction of Plant Architectural Models Based on Substructure Decomposition.
J. Comput. Sci. Technol., 2003

Face Annotation for Family Photo Album Management.
Int. J. Image Graphics, 2003

Fast Algorithm for Stochastic Tree Computation.
Proceedings of the 11-th International Conference in Central Europe on Computer Graphics, 2003

2002
Fast Algorithms of Plant Computation Based on Substructure Instances.
Proceedings of the 10-th International Conference in Central Europe on Computer Graphics, 2002

2001
Two-level tuning of fuzzy PID controllers.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

A systematic study of fuzzy PID controllers-function-based evaluation approach.
IEEE Trans. Fuzzy Systems, 2001

2000
Cell detection and tracking for micromanipulation vision system of cell-operation robot.
Proceedings of the IEEE International Conference on Systems, 2000

1999
Analysis of direct action fuzzy PID controller structures.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1999

New methodology for analytical and optimal design of fuzzy PID controllers.
IEEE Trans. Fuzzy Systems, 1999

1998
Application of a fuzzy classification technique in computer grading of fish products.
IEEE Trans. Fuzzy Systems, 1998

1997
A new eigenstructure method for sinusoidal signal retrieval in white noise: estimation and pattern recognition.
IEEE Trans. Signal Processing, 1997


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