Robust Sparse Representation for Incomplete and Noisy Data
نویسندگان
چکیده
منابع مشابه
Robust Sparse Representation for Incomplete and Noisy Data
Owing to the robustness of large sparse corruptions and the discrimination of class labels, sparse signal representation has been one of the most advanced techniques in the fields of pattern classification, computer vision, machine learning and so on. This paper investigates the problem of robust face classification when a test sample has missing values. Firstly, we propose a classification met...
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ژورنال
عنوان ژورنال: Information
سال: 2015
ISSN: 2078-2489
DOI: 10.3390/info6030287