A Novel Discriminative Dictionary Learning Method for Image Classification

In this paper, we present a novel discriminative dictionary learning (DDL) method for image classification. The local structural relationship between samples is first built by the Laplacian eigenmaps (LE), and then integrated into basic DDL frame to suppress inter-class ambiguity in feature space. Moreover, order improve ability of dictionary, category label information training formulated objective function considering promotion term. Thus, data points original are transformed new space, which from different categories expected be far apart. test results based on real dataset indicate effectiveness method.