12 search results - page 1 / 3 » Penalty Decomposition Methods for Rank Minimization |
CORR
2010
Springer
13 years 4 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...
ECML
2007
Springer
13 years 10 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 ...
FOCM
2011
12 years 11 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 ...
IDA
2005
Springer
13 years 10 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...
SIAMMAX
2011
12 years 7 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...