Robust Object Recognition under Partial Occlusions Using NMF

In recent years, nonnegative matrix factorization (NMF) methods of a reduced image data representation attracted the attention of computer vision community. These methods are considered as a convenient part-based representation of image data for recognition tasks with occluded objects. A novel modif...

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Bibliographic Details
Main Authors: Daniel Soukup, Ivan Bajla
Format: Article
Language:English
Published: Hindawi Limited 2008-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2008/857453

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