Machine Learning
Self-organizing maps
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Polynomial-time solutions to image segmentation
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
Why so many clustering algorithms: a position paper
ACM SIGKDD Explorations Newsletter
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Selective ensemble of decision trees
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
A Hybrid SOM-BPN Approach to Lot Output Time Prediction in a Wafer Fab
Neural Processing Letters
An intelligent hybrid system for wafer lot output time prediction
Advanced Engineering Informatics
An intelligent mechanism for lot output time prediction and achievability evaluation in a wafer fab
Computers and Industrial Engineering
The feature extraction and analysis of flaw detection and classification in BGA gold-plating areas
Expert Systems with Applications: An International Journal
Combination of Multiple Segmentations by a Random Walker Approach
Proceedings of the 30th DAGM symposium on Pattern Recognition
Evolutionary image segmentation based on multiobjective clustering
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A neutrosophic approach to image segmentation based on watershed method
Signal Processing
Novel classification and segmentation techniques with application to remotely sensed images
Transactions on rough sets VII
A multiobjective immune clustering ensemble technique applied to unsupervised SAR image segmentation
Proceedings of the ACM International Conference on Image and Video Retrieval
Incorporating future release plan in predicting wafer lot output time with a hybrid ANN
ROCOM'06 Proceedings of the 6th WSEAS international conference on Robotics, control and manufacturing technology
A hybrid SOM-FBPN approach for output time prediction in a wafer fab
ROCOM'06 Proceedings of the 6th WSEAS international conference on Robotics, control and manufacturing technology
A systematic procedure for evaluating the achievability of an output time forecast in a wafer fab
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Color image segmentation using parallel OptiMUSIG activation function
Applied Soft Computing
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Image segmentation plays an important role in image analysis and image understanding. In this paper, an image segmentation method based on ensemble of SOM neural networks is proposed, which clusters the pixels in an image according to color and spatial features with many SOM neural networks, and then combines the clustering results to give the final segmentation. Experimental results show that the proposed method performs better than some existing clustering-based image segmentation methods.