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NIPS
2001
15 years 5 months ago
The Concave-Convex Procedure (CCCP)
We introduce the Concave-Convex procedure (CCCP) which constructs discrete time iterative dynamical systems which are guaranteed to monotonically decrease global optimization/ener...
Alan L. Yuille, Anand Rangarajan
CVPR
2010
IEEE
16 years 16 days ago
Discriminative Clustering for Image Co-segmentation
Purely bottom-up, unsupervised segmentation of a single image into two segments remains a challenging task for computer vision. The co-segmentation problem is the process of joi...
Armand Joulin, Francis Bach, Jean Ponce
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 10 months ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
SRDS
2006
IEEE
15 years 10 months ago
How To Safeguard Your Sensitive Data
In order to safeguard a sensitive database, we must ensure both its privacy and its longevity. However, privacy and longevity tend to be competing objectives. We show how to desig...
Bob Mungamuru, Hector Garcia-Molina, Subhasish Mit...
146
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CDC
2008
IEEE
124views Control Systems» more  CDC 2008»
15 years 10 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