Nonnegative Matrix Factorizations Performing Object Detection and Localization
نویسندگان
چکیده
منابع مشابه
Nonnegative Matrix Factorizations Performing Object Detection and Localization
We study the problem of detecting and localizing objects in still, gray-scale images making use of the part-based representation provided by non-negative matrix factorizations. Non-negative matrix factorization represents an emerging example of subspace methods which is able to extract interpretable parts from a set of template image objects and then to additively use them for describing indivi...
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The notion of low rank approximations arises from many important applications. When the low rank data are further required to comprise nonnegative values only, the approach by nonnegative matrix factorization is particularly appealing. This paper intends to bring about three points. First, the theoretical Kuhn-Tucker optimality condition is described in explicit form. Secondly, a number of nume...
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ژورنال
عنوان ژورنال: Applied Computational Intelligence and Soft Computing
سال: 2012
ISSN: 1687-9724,1687-9732
DOI: 10.1155/2012/781987