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» Optimization of Convex Risk Functions
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SIGECOM
2010
ACM
152views ECommerce» more  SIGECOM 2010»
14 years 3 months ago
Information aggregation in smooth markets
Recent years have seen extensive investigation of the information aggregation properties of prediction markets. However, relatively little is known about conditions under which a ...
Krishnamurthy Iyer, Ramesh Johari, Ciamac Cyrus Mo...
ISPD
1999
ACM
127views Hardware» more  ISPD 1999»
14 years 2 months ago
Buffer insertion for clock delay and skew minimization
 Buffer insertion is an effective approach to achieve both minimal clock signal delay and skew in high speed VLSI circuit design. In this paper, we develop an optimal buffer ins...
X. Zeng, D. Zhou, Wei Li
ICIP
2005
IEEE
14 years 12 months ago
Finding the global minimum for binary image restoration
Restoring binary images is a problem which arises in various application fields. In our paper, this problem is considered in a variational framework: the sought-after solution min...
Tony F. Chan, Selim Esedoglu, Mila Nikolova
ICASSP
2011
IEEE
13 years 2 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
AAAI
2010
13 years 11 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...