Qing Tao

Su Hu

Chunhong Hu

BMC Medical Imaging, December, 2023

2020

Acoustic Emission Location Method for Quasi-Cylindrical Structure With Complex Hole.

[BibT_eX]

[DOI]

IEEE Access, 2020

Robot Time-Optimal Trajectory Planning Based on Improved Cuckoo Search Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Online Learning for Time Series Prediction of AR Model with Missing Data.

[BibT_eX]

[DOI]

Haimin Yang

Zhisong Pan

Neural Process. Lett., 2019

2018

Online learning for vector autoregressive moving-average time series prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2018

2017

The distribution and development of wind resources in China.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Automation and Computing, 2017

2015

The design and simulation of beam pumping unit.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Automation and Computing, 2015

2014

Stochastic Learning via Optimizing the Variational Inequalities.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

2012

Developing Learning Algorithms via Optimized Discretization of Continuous Dynamical Systems.

[BibT_eX]

[DOI]

Zhengya Sun

Kang Kong

IEEE Trans. Syst. Man Cybern. Part B, 2012

Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2010

Avoiding False Positive in Multi-Instance Learning.

[BibT_eX]

[DOI]

Yanjun Han

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Nonlinear Blind Source Separation Using Slow Feature Analysis with Random Features.

[BibT_eX]

[DOI]

Kuijun Ma

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Robust sparse rank learning for non-smooth ranking measures.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

2008

Recursive Support Vector Machines for Dimensionality Reduction.

[BibT_eX]

[DOI]

Dejun Chu

IEEE Trans. Neural Networks, 2008

A general soft method for learning SVM classifiers with L<sub>1</sub>-norm penalty.

[BibT_eX]

[DOI]

Pattern Recognit., 2008

Machine Learning: The State of the Art.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2008

2007

Learning linear PCA with convex semi-definite programming.

[BibT_eX]

[DOI]

Pattern Recognit., 2007

A parameterized direct LDA and its application to face recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2007

Recursive Feature Extraction for Ordinal Regression.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

The theoretical analysis of FDA and applications.

[BibT_eX]

[DOI]

Pattern Recognit., 2006

One-Class Strategies for Security Information Detection.

[BibT_eX]

[DOI]

Proceedings of the Intelligence and Security Informatics, International Workshop, 2006

2005

Posterior probability support vector Machines for unbalanced data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2005

A new maximum margin algorithm for one-class problems and its boosting implementation.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

A linear optimization neural network for associative memory.

[BibT_eX]

[DOI]

Xin Liu

Xunxue Cui

Appl. Math. Comput., 2005

Probabilistic Behavior of Sensor Network Localization.

[BibT_eX]

[DOI]

Xunxue Cui

Zhan Zhao

Proceedings of the Parallel and Distributed Processing and Applications, 2005

Some Marginal Learning Algorithms for Unsupervised Problems.

[BibT_eX]

[DOI]

Proceedings of the Intelligence and Security Informatics, 2005

2004

A generalized S-K algorithm for learning v-SVM classifiers.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2004

A New Fuzzy Support Vector Machine Based on the Weighted Margin.

[BibT_eX]

[DOI]

Neural Process. Lett., 2004

A dynamic genetic algorithm based on continuous neural networks for a kind of non-convex optimization problems.

[BibT_eX]

[DOI]

Xin Liu

Meisheng Xue

Appl. Math. Comput., 2004

2002

Kernel Projection Algorithm for Large-Scale SVM Problems.

[BibT_eX]

[DOI]

Jiaqi Wang

J. Comput. Sci. Technol., 2002

The BSB neural network in the convex body spanned by the prototype patterns for associative memory.

[BibT_eX]

[DOI]

Xin Liu

Appl. Math. Comput., 2002

2001

A novel continuous-time neural network for realizing associative memory.

[BibT_eX]

[DOI]

Tingjian Fang

Hong Qiao

IEEE Trans. Neural Networks, 2001

Estimation on Domain of Attraction and Convergence Rate of Hopfield Continuous Feedback Neural Networks.

[BibT_eX]

[DOI]

J. Comput. Syst. Sci., 2001

A simple and high performance neural network for quadratic programming problems.

[BibT_eX]

[DOI]

Demin Sun

Appl. Math. Comput., 2001

2000

Estimation of the Domain of Attraction and the Convergence Rate of a Hopfield Associative Memory and an Application.

[BibT_eX]

[DOI]