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As one of the most popular research topics, sparse representation and dictionary learning technique has received an increasing amount of interest in recent years. Sparse representation based classification (SRC) has been shown to be an effective method and produce impressive performance on face recognition. SRC directly used the entire set of training samples as the dictionary for sparse coding. Recent...
Recently, collaborative representation (CR) has been shown to produce impressive performance on face recognition. However, the performances of CR depend on the number of labeled training samples for each class. When the labeled training samples per class are insufficient, CR would perform inaccurately and correspondingly degrades the final recognition performance. To solve this problem, in this paper,...
In this paper, discriminant linear local tangent space alignment (MDLLTSA) is proposed in order to solve the problems of local tangent space alignment (LTSA) in image recognition, such as implicitness of the nonlinear map or class information of data is ignored. With local tangent space representing for local geometrical structure of the manifold of the data samples, as well as with the supervised...
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