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CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
14 years 2 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
DATE
2008
IEEE
75views Hardware» more  DATE 2008»
14 years 2 months ago
Temperature Control of High-Performance Multi-core Platforms Using Convex Optimization
With technology advances, the number of cores integrated on a chip and their speed of operation is increasing. This, in turn is leading to a significant increase in chip temperat...
Srinivasan Murali, Almir Mutapcic, David Atienza, ...
JMLR
2010
143views more  JMLR 2010»
13 years 6 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
TASLP
2010
142views more  TASLP 2010»
13 years 2 months ago
Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation
We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...
M. Kowalski, Emmanuel Vincent, Rémi Gribonv...
ISAAC
2009
Springer
168views Algorithms» more  ISAAC 2009»
14 years 2 months ago
On the Camera Placement Problem
We introduce a new probing problem: what is the minimum number of cameras at fixed positions necessary and sufficient to reconstruct any strictly convex polygon contained in a dis...
Rudolf Fleischer, Yihui Wang