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CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
13 years 11 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
ICCAD
2002
IEEE
149views Hardware» more  ICCAD 2002»
14 years 1 months ago
Gate sizing using Lagrangian relaxation combined with a fast gradient-based pre-processing step
─ In this paper, we present Forge, an optimal algorithm for gate sizing using the Elmore delay model. The algorithm utilizes Lagrangian relaxation with a fast gradient-based pre-...
Hiran Tennakoon, Carl Sechen
CVPR
2010
IEEE
13 years 4 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...
TIT
2010
137views Education» more  TIT 2010»
12 years 11 months ago
Average case analysis of multichannel sparse recovery using convex relaxation
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
Yonina C. Eldar, Holger Rauhut
ICML
2010
IEEE
13 years 5 months ago
Accelerated dual decomposition for MAP inference
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
Vladimir Jojic, Stephen Gould, Daphne Koller