A parameterized fuzzy adaptive K-SVD approach for the multi-classes study of pursuit algorithms
A parameterized reformative fuzzy LDA is proposed to achieve the distribution information of each sample. Apply Hopfield neural network model to parameter estimation of reformative fuzzy LDA. Incorporate the proposed fuzzy mechanism into dictionary-update stage of K-SVD. Utilize the study of pursuit algorithm combined with fuzzy discriminatory measure for the pattern classification.
k-svd sparse representation parameterized fuzzy set optimization recovery image recognition