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15 November 2007 Study of the model of probability-based covering algorithm
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Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880M (2007) https://doi.org/10.1117/12.747387
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Probability-Based Covering Algorithm (PBCA) is a new algorithm based on probability distribution. It uses the probability of samples and decides the class of the sample on the border of coverage by voting. In the original covering algorithm, there are many tested samples that can't be classified by the spherical neighborhood gained. The network structure of PBCA is mixed structure composed of feed-forward network and feedback network. The method of adding some samples of different class and enlarging the coverage radius is used to decrease the number of refused samples and improve the rates of recognition. The algorithm is effected in improving the study precision.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ying Zhou, Yangqun Xie, and Ling Zhang "Study of the model of probability-based covering algorithm", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880M (15 November 2007); https://doi.org/10.1117/12.747387
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