Computer Vision Pattern Recognition

Advanced Intelligent Computing Theories and Applications: by De-Shuang Huang, Kyungsook Han

By De-Shuang Huang, Kyungsook Han

This e-book - along with the double quantity LNCS 9225-9226 - constitutes the refereed complaints of the eleventh foreign convention on clever Computing, ICIC 2015, held in Fuzhou, China, in August 2015.

The eighty four papers of this quantity have been conscientiously reviewed and chosen from 671 submissions. unique contributions on the topic of this topic have been particularly solicited, together with theories, methodologies, and purposes in technological know-how and know-how. This yr, the convention centred almost always on computer studying concept and techniques, delicate computing, snapshot processing and laptop imaginative and prescient, wisdom discovery and knowledge mining, normal language processing and computational linguistics, clever keep an eye on and automation, clever conversation networks and net functions, bioinformatics idea and strategies, healthcare and clinical tools, and knowledge security.

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Extra resources for Advanced Intelligent Computing Theories and Applications: 11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015. Proceedings, Part III

Sample text

For example, the toy dataset used by some MGP models [12, 17, 26, 29] was generated by 4 continuous functions with Gaussian noise, as is shown in Fig. 1. Therefore, it is better to fit the Toy dataset by MGP with four GPs than only one GP. Secondly, the computational cost can be reduced by dividing the large kernel matrix of one GP into small matrices of components. 16 Z. Chen and J. Ma Fig. 1. 3 Sparse Gaussian Process (SGP) Another good scaling technique for GP is to use the model of Sparse Gaussian Process.

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