Hardware random number generators attempt to extract
randomness directly from complex physical systems. In this way they create random outputs withou...
卡耐基.梅隆大学的牛发写的关于孤立点和数据清洗的文章,全英文,2003年完成,Probabilistic Noise Identification and Data Cleaning,Real world data is never as perfect as we would like it
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SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU...
Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions instead of Gaussian. The images do not need to be ...