Unsupervised Feature Learning via Non-Parametric Instance ...
Under the conven-tional parametric softmax formulation, for image xwith feature v = f (x), the probability of it being recognized as i-th example is P(ijv) = exp wT i v P n j=1 exp w T j v: (1) where w j is a weight vector for class j, and wT j v measures how well v matches the j-th class i.e., instance. Non-Parametric Classifier. The problem ...
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