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This article develops a novel subspace learning algorithm for visual tracking. Specifically, the authors first present a linear projection view to formulate subspace learning and then develop a novel framework, called Latent Subspace Projection Pursuit (LSPP), to estimate the intrinsic dimension, removing corruptions and recovering the subspace structure for observed datasets. The authors evaluate...
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