6157

A Mutable Hardware Abstraction to Replace Threads

Jan Sukenik
Institute of Informatics and Software Engineering, Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, Ilkovicova 3, 842 16 Bratislava, Slovaki
Informational Sciences and Technologies, Bulletin of the ACM Slovakia, Volume 3, Number 2, 2011

@article{sukenik2011solving,

   title={Solving of Image Similarity Puzzle–Singular Value Decomposition},

   author={S{‘u}ken{‘i}k, J.},

   year={2011}

}

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Ever since first digital images appeared, computer scientists all over the world have been trying to computationally estimate their similarity. So far, no solution as good as human brain was found. This paper presents another technique that tackles with this issue, using singular value decomposition – a matrix factorization method which extracts main features of the data. In addition to technique description, paper also offers some experimental results obtained using this method. These experiments show that presented technique produces satisfying results, which means it may be used to solve the image similarity puzzle.
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