Dec 6, 2017 · We introduce a new condition called atomic classification condition (ACC), which reveals important geometric insights for the theory of ARC. We ...
Despite their empirical success, few theoretical results are reported to justify their effectiveness. In this paper, we establish the theoretical guarantees for ...
We introduce a new condition called atomic classification condition (ACC), which reveals important geometric insights for the theory of ARC. We show that under ...
Dec 12, 2018 · Abstract—Representation-based classification (RC) methods such as sparse RC (SRC) have attracted great interest in pattern.
Atomic Representation-Based Classification: Theory, Algorithm, and Applications ... A new sparse representation-based classification algorithm using iterative ...
Atomic Representation-Based Classification: Theory, Algorithm, and Applications ... Based on Supervised Local Density Clustering for Instance-Based Classifiers.
In this paper, we propose a discriminative projection and representation-based classification (DPRC) method to enhance the discriminant ability of the SRC.
In this paper, we study a natural generalization of SRC, i.e., block sparse representation based classifiers (BSRC), which takes into account the block ...
was proposed for face recognition by applying arbitrary norms in both the objective function and the constraint function of conventional RC algorithms.
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