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.
Read or Download Advances in Multimedia Information Processing -- PCM 2010, Part II: 11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010 Proceedings PDF
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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
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.