Journal of Industrial Technology (산업기술연구)
- Volume 28 Issue A
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- Pages.185-189
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- 2008
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- 1229-9588(pISSN)
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- 1598-1371(eISSN)
Group Model Clustering Method for Model Downsizing
모델 축소를 위한 그룹 모델 클러스터링 방법에 대한 연구
- Published : 2008.02.29
Abstract
Practical pattern recognition systems should overcome very large class problem. Sometimes it is almost impossible to build every model for every class due to memory and time constraints. For this case, grouping similar models will be helpful. In this paper, we propose GMC(Group Model Clustering) to build a large class Chinese character recognition system. We built hidden Markov models for 10% of total classes, then classify the rest of classes into already trained group classes. Finally group models are trained using group model clustered data. Recognition is performed using only group models, in order to achieve reduced model size and improved recognition speed.