Research Article
Shape Completion Using Deep Boltzmann Machine
Given: A training set consists of samples denoted as . A new sample with incomplete shape. | Output: A new sample with complete shape. | () Use Algorithm 1 to train a DBM. | () Use Algorithm 2 to set a proper mask . | () Randomly clamp the state of hidden layer , clamp the visible state using mask . | () With the clamped units, sample from the DBM using the indicator . |
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