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» Theory and Applications of Robust Optimization
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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
15 years 5 months ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
TSMC
2008
99views more  TSMC 2008»
14 years 11 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
CDC
2009
IEEE
164views Control Systems» more  CDC 2009»
14 years 9 months ago
Real-time MPC - Stability through robust MPC design
Recent results have suggested that online Model Predictive Control (MPC) can be computed quickly enough to control fast sampled systems. High-speed applications impose a hard real-...
Melanie Nicole Zeilinger, Colin Neil Jones, Davide...
CISS
2007
IEEE
15 years 6 months ago
Analog Coding for Delay-Limited Applications
— In this paper, we consider the problem of sending an analog source over an additive white Gaussian noise channel. The traditional analog coding schemes suffer from the threshol...
Mahmoud Taherzadeh, Amir K. Khandani
ICASSP
2009
IEEE
15 years 6 months ago
Robust-SL0 for stable sparse representation in noisy settings
In the last few years, we have witnessed an explosion in applications of sparse representation, the majority of which share the need for finding sparse solutions of underdetermine...
Armin Eftekhari, Massoud Babaie-Zadeh, Christian J...