BYY harmony learning, structural RPCL, and topological self-organizing on mixture models
Neural Networks - New developments in self-organizing maps
Neural Processing Letters
Regularized mixture discriminant analysis
Pattern Recognition Letters
A dynamic merge-or-split learning algorithm on gaussian mixture for automated model selection
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
The mahalanobis distance based rival penalized competitive learning algorithm
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
A cost-function approach to rival penalized competitive learning (RPCL)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
IEEE Transactions on Neural Networks
The Competitive EM Algorithm for Gaussian Mixtures with BYY Harmony Criterion
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Automatic Straight Line Detection through Fixed-Point BYY Harmony Learning
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
BYY Harmony Learning on Weibull Mixture with Automated Model Selection
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
A Gradient BYY Harmony Learning Algorithm for Straight Line Detection
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Gaussian models and fast learning algorithm for persistence analysis of tracked video objects
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Fast learning algorithm for Gaussian models to analyze video objects with parameter size
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Simultaneous model selection and feature selection via BYY harmony learning
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
A fixed-point EM algorithm for straight line detection
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
A dynamic merge-or-split learning algorithm on gaussian mixture for automated model selection
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Kernel k'-means algorithm for clustering analysis
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
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The Bayesian Ying-Yang (BYY) harmony learning theory has brought about a new mechanism that model selection on Gaussian mixture can be made automatically during parameter learning via maximization of a harmony function on finite mixture defined through a specific bidirectional architecture (BI-architecture) of the BYY learning system. In this paper, we propose a fast fixed-point learning algorithm for efficiently implementing maximization of the harmony function on Gaussian mixture with automated model selection. Several simulation experiments are performed to compare its effectiveness in automated model selection as well as its efficiency in parameter learning with other existing learning algorithms. The experimental results reveal that the performance of the proposed algorithm is superior to its counterparts in these aspects. Moreover, the proposed algorithm is further tested with three typical real-world data sets and successfully applied to unsupervised color image segmentation.