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ML
2007
ACM
106views Machine Learning» more  ML 2007»
13 years 7 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
IOR
2008
113views more  IOR 2008»
13 years 6 months ago
Finding Supply Function Equilibria with Asymmetric Firms
Abstract Firms compete in supply functions when they offer a schedule of prices and quantities into a market; for example, this occurs in many wholesale electricity markets. We stu...
Edward J. Anderson, Xinmin Hu
MEDIAFORENSICS
2010
13 years 6 months ago
Image dependent log-likelihood ratio allocation for repeat accumulate code-based decoding in data hiding channels
Error correction codes of suitable redundancy are used for ensuring perfect data recovery in noisy channels. For iterative decoding based methods, the decoder needs to be initiali...
Anindya Sarkar, B. S. Manjunath
VC
2010
160views more  VC 2010»
13 years 5 months ago
A lightweight approach to repairing digitized polygon meshes
Abstract When designing novel algorithms for geometric processing and analysis, researchers often assume that the input conforms to several requirements. On the other hand, polygon...
Marco Attene
ICDM
2010
IEEE
167views Data Mining» more  ICDM 2010»
13 years 5 months ago
Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori...