Greedy vs. L1 Convex Optimization in Sparse Coding: Comparative Study in Abnormal Event Detection


Sparse representation has been applied successfully in many image analysis applications, including abnormal event detection, in which a baseline is to learn a dictionary from the training data and detect anomalies from its sparse codes. During this procedure, sparse codes which can be achieved through finding the L0-norm solution of the problem: min ‖Y −D… (More)


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