Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective.
CoRR, 2020
NEWLSTM: An Optimized Long Short-Term Memory Language Model for Sequence Prediction.
IEEE Access, 2020
Probabilistic Model for Robust Affine and Non-Rigid Point Set Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Emergency Events Classification Based on Minsheng Hotline Unbalanced Short-Text.
Proceedings of the IEEE International Conference on Big Knowledge, 2017
RGB-D saliency detection under Bayesian framework.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Visual Saliency Detection for RGB-D Images with Generative Model.
Proceedings of the Computer Vision - ACCV 2016, 2016
Probabilistic point set matching with Gaussian mixture model.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Robust Point Set Matching under Variational Bayesian Framework.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Variational Bayesian level set for image segmentation.
Proceedings of the Sixth International Conference on Machine Vision, 2013
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.
Ecol. Informatics, 2009
Variational Bayes Inference for Generalized Associative Functional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007
Associating Neural Networks with Partially Known Relationships for Nonlinear Regressions.
Proceedings of the Advances in Intelligent Computing, 2005