Optimal Couple Projections for Domain Adaptive Sparse Representation-Based Classification
In recent years, sparse representation-based classification (SRC) is one of the most successful methods and has been shown impressive performance in various classification tasks. However, when the training data have a different distribution than the testing data, the learned sparse representation may not be optimal, and the performance of SRC will be degraded significantly. To address this problem, in this paper, we propose an optimal couple projections for domain-adaptive SRC (OCPD-SRC)...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Image Processing|
|01_Zhang_Optimal_Couple_Projections_for_2017.pdf||3.92 MB||Adobe PDF||Request a copy|
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