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Visual Tracking via Nonnegative Regularization Multiple Locality Coding
Weights of these various dictionaries are also learned from approximated LLC in the similar framework.
Robust Visual Tracking via Inverse Nonnegative Matrix Factorization
It utilizes both the foreground and background information, and imposes a local coordinate constraint, where the basis matrix is sparse matrix from the linear combination of candidates with corresponding nonnegative coefficient vectors.
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