التمثيل المتناثر Archives — MATLAB Number ONE

Metasample Based Sparse Representation for Tumor Classification

global MATLAB — Mon, 07 May 2018 05:13:21 +0000

A reliable and accurate identification of the type of tumors is crucial to the proper treatment of cancers. In recent years, it has been shown that sparse representation (SR) by l1 -norm minimization is robust to noise, outliers and even incomplete measurements, and SR has been successfully used for classification. This paper presents a new SR based method […]

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Metaface learning for sparse representation based face recognition

global MATLAB — Thu, 19 Apr 2018 07:38:47 +0000

Automatic face recognition (FR) has been, and remains being, one of the most visible and challenging research topics in computer vision, machine learning and biometrics. Although the facial images have a high dimensionality, they usually lie on a lower dimensional subspaces or submanifolds. Therefore, subspace learning and manifold learning methods have been dominantly and successfully used in appearance based FR , which […]

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On the Dimensionality Reduction for Sparse Representation based Face Recognition

global MATLAB — Mon, 16 Apr 2018 03:59:10 +0000

In this project, we discussed the dimensionality reduction (DR) of face images when using sparse representation based classifier (SRC) for classification. Our experiments on Extended Yale B, AR and ORL face databases demonstrated that the proposed DR algorithm has better performance than Eigenfaces and Randomfaces. It can achieve higher recognition rate under the same dimensionality […]

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