Advances in Multimedia Information Processing -- PCM 2010, by Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue,

By Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue, C.-C. Jay Kuo, Michael S. Lew

This booklet constitutes the complaints of the eleventh Pacific Rim convention on Advances in Multimedia info Processing, held in Shanghai in September 2010.

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Extra resources for Advances in Multimedia Information Processing -- PCM 2010, Part II: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010 Proceedings

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547–556. ACM, New York (2009) 11. : A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers. Advances in Neural Information Processing Systems (2009) 12. : The bayesian lasso. Journal of the American Statistical Association 103(482), 681–686 (2008) 13. : In defense of one-vs-all classification. The Journal of Machine Learning Research 5, 141 (2004) 14. : A comparison of classifiers and document representations for the routing problem. In: Proceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.

The best performance is achieved in a depth where more dependency of data could be captured while less noise are involved, so that the architecture could not be too deep. 5 Fig. 5. Comparison of Classification Results using auto-encoder with Different Number of Layers 5 Conclusion and Future Work In this paper, we applied two kinds of dimensionality reduction methods to web image datasets and trained classifiers on reduced space. The experiment result has demonstrated that classification on space reduced using CUR matrix decomposition and auto-encoder outperforms other methods.

Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 210–227 (2008) 21. : Text categorization based on regularized linear classification methods. Information Retrieval 4(1), 5–31 (2001) 22. : Multi-label dimensionality reduction via dependence maximization. In: Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI, pp. com Abstract. Mobile phone is now playing a role of indispensable assistant in people’s daily life.

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