143 search results - page 17 / 29 » Subgradient methods and consensus algorithms for solving con... |
FOCM
2011
13 years 2 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 ...
SMI
2007
IEEE
14 years 1 months ago
2007
IEEE
We present two complementary methods for automatically improving mesh parameterizations and demonstrate that they provide a very desirable combination of efficiency and quality. ...
ALENEX
2008
13 years 8 months ago
2008
The National Airspace System (NAS) is designed to accommodate a large number of flights over North America. For purposes of workload limitations for air traffic controllers, the a...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly comm...
AAAI
2010
13 years 8 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...