By Guoping Qiu, Kin Man Lam, Hitoshi Kiya, Xiang-Yang Xue, C.-C. Jay Kuo, Michael S. Lew
This ebook constitutes the lawsuits of the eleventh Pacific Rim convention on Advances in Multimedia details Processing, held in Shanghai in September 2010.
Read Online 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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Additional info 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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The sparse logistic regression is applied to obtain this vector. βˆj = arg min j β n T P λ|βpj | log(1 + exp(−β j x ˜i yi,j )) + (3) p=0 i=1 where x ˜i = (1, xTi )T . If |βpj |(0 ≤ p ≤ P ) is large, we can know that the pth visual word has strong association with the jth label. On the contrary, the lower |βpj |, the less association between the pth visual word and the jth tag. The interesting point of the discovery of association between visual words and tags by sparse logistic regression is that most of βpj (0 ≤ p ≤ P ) are set to zero in regression via the lasso.