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CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
16 years 1 months ago
A proximal center-based decomposition method for multi-agent convex optimization
— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Ion Necoara, Johan A. K. Suykens
CDC
2008
IEEE
112views Control Systems» more  CDC 2008»
16 years 1 months ago
Application of the proximal center decomposition method to distributed model predictive control
Abstract— In this paper we present a dual-based decomposition method, called here the proximal center method, to solve distributed model predictive control (MPC) problems for cou...
Ion Necoara, Dang Doan, Johan A. K. Suykens
197
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SIGCSE
2004
ACM
168views Education» more  SIGCSE 2004»
16 years 8 days ago
Design, science, and engineering topics?: teaching HCI with a unified method
Reacting to challenges that have been observed in humancomputer interaction (HCI) education, as well as the multidisciplinary design, science, and engineering underpinnings, we in...
D. Scott McCrickard, Christa M. Chewar, Jacob P. S...
170
Voted
AAAI
1997
15 years 8 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
TIP
2008
269views more  TIP 2008»
15 years 6 months ago
An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images
This paper proposes a face hallucination method for the reconstruction of high-resolution facial images from single-frame, low-resolution facial images. The proposed method has bee...
Jeong-Seon Park, Seong-Whan Lee