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» An algorithm for minimizing the Mumford-Shah functional
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ICML
2004
IEEE
14 years 9 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
IPM
2008
100views more  IPM 2008»
13 years 8 months ago
Query-level loss functions for information retrieval
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
AMC
2005
138views more  AMC 2005»
13 years 8 months ago
Optimal centers in branch-and-prune algorithms for univariate global optimization
We present an interval branch-and-prune algorithm for computing verified enclosures for the global minimum and all global minimizers of univariate functions subject to bound const...
D. G. Sotiropoulos, T. N. Grapsa
SODA
2008
ACM
104views Algorithms» more  SODA 2008»
13 years 10 months ago
Ranged hash functions and the price of churn
Ranged hash functions generalize hash tables to the setting where hash buckets may come and go over time, a typical case in distributed settings where hash buckets may correspond ...
James Aspnes, Muli Safra, Yitong Yin
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 13 days ago
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes
Positioning multiple sensors for acquisition of a a given environment is one of the fundamental research areas in various fields, such as military scouting, computer vision and ro...
Haluk Topcuoglu, Murat Ermis