Efficient algorithm for low-rank matrix factorization with missing components and performance comparison of latest algorithms
This paper examines numerical algorithms for factorization of a low-rank matrix with missing components. We first propose a new method that incorporates a damping factor into the Wiberg method to solve the problem. The new method is characterized by the way it constrains the ambiguity of the matrix...
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| Published in: | 2011 International Conference on Computer Vision pp. 842 - 849 |
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| Main Authors: | , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
01.11.2011
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| Subjects: | |
| ISBN: | 9781457711015, 145771101X |
| ISSN: | 1550-5499 |
| Online Access: | Get full text |
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