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ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 6 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
CVPR
1996
IEEE
16 years 8 months ago
MUSE: Robust Surface Fitting using Unbiased Scale Estimates
Despite many successful applications of robust statistics, they have yet to be completely adapted to many computer vision problems. Range reconstruction, particularly in unstructu...
James V. Miller, Charles V. Stewart
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
16 years 1 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
IJCNN
2008
IEEE
16 years 29 days ago
A connection-limited neural network by InfoMax and InfoMin
— It is well known that edge filters in the visual system can be generated by the InfoMax principle. But, such models are nonlinear and employ fully-connected network structures...
Yoshitatsu Matsuda, Kazunori Yamaguchi
CP
2007
Springer
16 years 22 days ago
Scheduling Conditional Task Graphs
The increasing levels of system integration in Multi-Processor System-on-Chips (MPSoCs) emphasize the need for new design flows for efficient mapping of multi-task applications o...
Michele Lombardi, Michela Milano