Search results for "Chong Jin Ong"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Masood Dehghan, Chong Jin Ong	Discrete-time switching linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration.	Automatica	2012	DBLP DOI BibTeX RDF
1	Elmer G. Gilbert, Chong Jin Ong	Constrained linear systems with hard constraints and disturbances: An extended command governor with large domain of attraction.	Automatica	2011	DBLP DOI BibTeX RDF
1	Jian-Bo Yang, Chong Jin Ong	Feature Selection Using Probabilistic Prediction of Support Vector Regression.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Jian-Bo Yang, Chong Jin Ong	Determination of Global Minima of Some Common Validation Functions in Support Vector Machine.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen	Characterization and computation of robust invariant sets for switching systems under dwell-time consideration.	CDC-ECE	2011	DBLP DOI BibTeX RDF
1	Masood Dehghan, Chong Jin Ong, Peter C. Y. Chen	Discrete-time switched linear system with constraints: Characterization and computation of invariant sets under dwell-time consideration.	CDC-ECE	2011	DBLP DOI BibTeX RDF
1	Chen Wang, Chong Jin Ong	Distributed model predictive control of dynamically decoupled systems with coupled cost.	Automatica	2010	DBLP DOI BibTeX RDF
1	Chong Jin Ong, Shiyun Shao, Jianbo Yang	An improved algorithm for the solution of the regularization path of support vector machine.	IEEE Transactions on Neural Networks	2010	DBLP DOI BibTeX RDF
1	Shengfeng Zhou, Peter C. Y. Chen, Zhe Lu, Joo Hoo Nam, Hong Luo, Ruowen Ge, Chong Jin Ong, Wei Lin	Speed optimization for micropipette motion during zebrafish embryo microinjection.	ICARCV	2010	DBLP DOI BibTeX RDF
1	Jian-Bo Yang, Chong Jin Ong	Feature selection for support vector regression using probabilistic prediction.	KDD	2010	DBLP DOI BibTeX RDF	feature selection, support vector regression, feature ranking, random permutation, probabilistic predictions
1	Dan Sui, Le Feng, Morten Hovd, Chong Jin Ong	Decomposition principle in model predictive control for linear systems with bounded disturbances.	Automatica	2009	DBLP DOI BibTeX RDF
1	Chen Wang, Chong Jin Ong, Melvyn Sim	Convergence properties of constrained linear system under MPC control law using affine disturbance feedback.	Automatica	2009	DBLP DOI BibTeX RDF
1	Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiao Ping Li	Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs.	IEEE Transactions on Neural Networks	2009	DBLP DOI BibTeX RDF
1	Chen Wang, Chong Jin Ong, Melvyn Sim	Distributed model predictive control of dynamically decoupled linear systems with coupled cost.	CDC	2009	DBLP DOI BibTeX RDF
1	Elmer G. Gilbert, Chong Jin Ong	An extended command governor for constrained linear systems with disturbances.	CDC	2009	DBLP DOI BibTeX RDF
1	Chen Wang, Chong Jin Ong, Melvyn Sim	Linear systems with chance constraints: Constraint-admissible set and applications in predictive control.	CDC	2009	DBLP DOI BibTeX RDF
1	Chen Wang, Chong Jin Ong, Melvyn Sim	Constrained linear system with disturbance: Convergence under disturbance feedback.	Automatica	2008	DBLP DOI BibTeX RDF
1	Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar P. V. Wilder-Smith	Feature selection via sensitivity analysis of SVM probabilistic outputs.	Machine Learning	2008	DBLP DOI BibTeX RDF	Support vector machines, Feature selection, Sensitivity, Feature ranking
1	Chen Wang, Chong Jin Ong, Melvyn Sim	Constrained linear system under disturbance feedback: Convergence with probability one.	CDC	2008	DBLP DOI BibTeX RDF
1	Chong Jin Ong, Elmer G. Gilbert	The minimal disturbance invariant set: Outer approximations via its partial sums.	Automatica	2006	DBLP DOI BibTeX RDF
1	Chong Jin Ong, Dan Sui, Elmer G. Gilbert	Enlarging the terminal region of nonlinear model predictive control using the support vector machine method.	Automatica	2006	DBLP DOI BibTeX RDF
1	L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee	Parallel sequential minimal optimization for the training of support vector machines.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
1	L. J. Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee	Developing parallel sequential minimal optimization for fast training support vector machine.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Hui Zheng, Einar P. V. Wilder-Smith	Feature Selection Using SVM Probabilistic Outputs.	ICONIP	2006	DBLP DOI BibTeX RDF
1	Chee-Kong Chui, Swee-Hin Teoh, Chong Jin Ong, James H. Anderson, Ichiro Sakuma	Integrative Modeling of Liver Organ for Simulation of Flexible Needle Insertion.	ICARCV	2006	DBLP DOI BibTeX RDF
1	Dan Sui, Chong Jin Ong	Outer Approximation of the Minimal Disturbance Invariant Set of PWL Systems with Bounded Disturbances.	ICARCV	2006	DBLP DOI BibTeX RDF
1	Wei Chu, Chong Jin Ong, S. Sathiya Keerthi	An improved conjugate gradient scheme to the solution of least squares SVM.	IEEE Transactions on Neural Networks	2005	DBLP DOI BibTeX RDF
1	Chong Jin Ong, S. Sathiya Keerthi, Elmer G. Gilbert, Z. H. Zhang	Stability regions for constrained nonlinear systems and their functional characterization via support-vector-machine learning.	Automatica	2004	DBLP DOI BibTeX RDF
1	Wei Chu, S. Sathiya Keerthi, Chong Jin Ong	Bayesian support vector regression using a unified loss function.	IEEE Transactions on Neural Networks	2004	DBLP DOI BibTeX RDF
1	Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste	An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels.	IEEE Transactions on Neural Networks	2004	DBLP DOI BibTeX RDF
1	Wei Chu, S. Sathiya Keerthi, Chong Jin Ong	Bayesian Trigonometric Support Vector Classifier.	Neural Computation	2003	DBLP DOI BibTeX RDF
1	Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh, S. Sathiya Keerthi, Chong Jin Ong	A Machine Learning Approach for the Curation of Biomedical Literature.	ECIR	2003	DBLP DOI BibTeX RDF
1	S. Sathiya Keerthi, Chong Jin Ong, Keng Boon Siah, David B. L. Lim, Wei Chu, Min Shi, David S. Edwin, Rakesh Menon, Lixiang Shen, Jonathan Y. K. Lim, Han Tong Loh	A Machine Learning Approach for the Curation of Biomedical Literature - KDD Cup 2002 (Task 1).	SIGKDD Explorations	2002	DBLP DOI BibTeX RDF	Naïve Bayes Classifier, paper curation, text mining, ROC curve, pre-processing
1	Chong Jin Ong, Elmer G. Gilbert	Fast versions of the Gilbert-Johnson-Keerthi distance algorithm: additional results and comparisons.	IEEE Transactions on Robotics	2001	DBLP DOI BibTeX RDF
1	Wei Chu, S. Sathiya Keerthi, Chong Jin Ong	A Unified Loss Function in Bayesian Framework for Support Vector Regression.	ICML	2001	DBLP BibTeX RDF
1	Chong Jin Ong, Eugene Huang, Sun-Mog Hong	A fast growth distance algorithm for incremental motions.	IEEE Transactions on Robotics	2000	DBLP DOI BibTeX RDF
1	S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, Elmer G. Gilbert	EquiDistance Diagram: A New Roadmap Method for Path Planning.	ICRA	1999	DBLP BibTeX RDF
1	Chong Jin Ong, Eugene Huang	An Incremental Version of Growth Distance.	ICRA	1998	DBLP BibTeX RDF
1	Chong Jin Ong	On the Quantification of Penetration between General Objects.	I. J. Robotic Res.	1997	DBLP BibTeX RDF
1	Chong Jin Ong, Elmer G. Gilbert	Robot Path Planning with Penetration Growth Distance.	ICRA	1994	DBLP BibTeX RDF
1	Elmer G. Gilbert, Chong Jin Ong	New Distances for the Separation and Penetration of Objects.	ICRA	1994	DBLP BibTeX RDF

Publications of "Chong Jin Ong" ( http://dblp.L3S.de/Authors/Chong_Jin_Ong )