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ICCV
2011
IEEE
13 years 9 months ago
Tight Convex Relaxations for Vector-Valued Labeling Problems
The multi-label problem is of fundamental importance to computer vision, yet finding global minima of the associated energies is very hard and usually impossible in practice. Rec...
Evgeny Strekalovskiy, Bastian Goldluecke, Daniel C...
ETFA
2008
IEEE
14 years 11 months ago
Descending Deviation Optimization techniques for scheduling problems
In factory automation, production line scheduling entails a number of competing issues. Finding optimal configurations often requires use of local search techniques. Local search l...
Kevin McCarty, Milos Manic
MOC
2002
101views more  MOC 2002»
14 years 9 months ago
On the stability of a family of finite element methods for hyperbolic problems
We consider a family of tensor product finite element methods for hyperbolic equations in RN , N 2, which are explicit and generate a continuous approximate solution. The base cas...
Gerard R. Richter
76
Voted
NIPS
2007
14 years 11 months ago
Convex Learning with Invariances
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex...
TSE
2010
155views more  TSE 2010»
14 years 4 months ago
Incremental Test Generation for Software Product Lines
Recent advances in mechanical techniques for systematic testing have increased our ability to automatically find subtle bugs, and hence to deploy more dependable software. This pap...
Engin Uzuncaova, Sarfraz Khurshid, Don S. Batory