12 search results - page 1 / 3 » Penalty Decomposition Methods for Rank Minimization |
91
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
In this paper we consider general rank minimization problems with rank appearing in either objective function or constraint. We first show that a class of matrix optimization prob...
117
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ECML
2007
Springer
15 years 7 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
107
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FOCM
2011
14 years 8 months ago
2011
The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
126
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IDA
2005
Springer
15 years 6 months ago
2005
Springer
We consider the problem of learning a ranking function, that is a mapping from instances to rankings over a finite number of labels. Our learning method, referred to as ranking by...
134
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SIAMMAX
2011
14 years 4 months ago
2011
Higher-order tensors are used in many application fields, such as statistics, signal processing, and scientific computing. Efficient and reliable algorithms for manipulating thes...