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119
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ISIPTA
2003
IEEE
117views Mathematics» more  ISIPTA 2003»
15 years 8 months ago
Dynamic Programming for Discrete-Time Systems with Uncertain Gain
We generalise the optimisation technique of dynamic programming for discretetime systems with an uncertain gain function. We assume that uncertainty about the gain function is des...
Gert de Cooman, Matthias C. M. Troffaes
MP
2006
105views more  MP 2006»
15 years 2 months ago
Two-stage integer programs with stochastic right-hand sides: a superadditive dual approach
We consider two-stage pure integer programs with discretely distributed stochastic right-hand sides. We present an equivalent superadditive dual formulation that uses the value fun...
Nan Kong, Andrew J. Schaefer, Brady Hunsaker
142
Voted
TMI
2008
141views more  TMI 2008»
15 years 2 months ago
Ultrasound Elastography: A Dynamic Programming Approach
This paper introduces a 2-D strain imaging technique based on minimizing a cost function using dynamic programming (DP). The cost function incorporates similarity of echo amplitude...
Hassan Rivaz, Emad Boctor, Pezhman Foroughi, Richa...
145
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Global convergence of independent component analysis based on semidefinite programming relaxation
In the independent component analysis, polynomial functions of higher order statistics are often used as cost functions. However, such cost functions usually have many local minim...
Shotaro Akaho, Jun Fujiki
108
Voted
MFCS
2004
Springer
15 years 8 months ago
Approximating Boolean Functions by OBDDs
In learning theory and genetic programming, OBDDs are used to represent approximations of Boolean functions. This motivates the investigation of the OBDD complexity of approximatin...
Andre Gronemeier