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» Discrete stochastic optimization using linear interpolation
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CDC
2009
IEEE
106views Control Systems» more  CDC 2009»
15 years 11 months ago
Gradient methods for iterative distributed control synthesis
— In this paper we present a gradient method to iteratively update local controllers of a distributed linear system driven by stochastic disturbances. The control objective is to...
Karl Martensson, Anders Rantzer
IJCNN
2007
IEEE
16 years 22 days ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
144
Voted
ICRA
2005
IEEE
103views Robotics» more  ICRA 2005»
16 years 1 days ago
A Model-Based Framework for Optimal Measurements in Machine Tool Calibration
— Calibration is the procedure of quantifying mechanical deficiencies of machines and compensating them by appropriate adjustment. This paper introduces a modelbased measurement...
D. Brunn, Uwe D. Hanebeck
191
Voted
CISS
2007
IEEE
15 years 10 months ago
Channel-Adaptive Optimal OFDMA Scheduling
Abstract-Joint subcarrier, power and rate allocation in orthogonal frequency division multiple access (OFDMA) scheduling is investigated for both downlink and uplink wireless trans...
Xin Wang, Georgios B. Giannakis, Yingqun Yu
154
Voted
ECML
2007
Springer
16 years 18 days ago
Optimizing Feature Sets for Structured Data
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...
Ulrich Rückert, Stefan Kramer