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CCE
2011
14 years 10 months ago
Time representations and mathematical models for process scheduling problems
During the last 15 years, many mathematical models have been developed in order to solve process operation scheduling problems, using discrete or continuous time representations. ...
Sylvain Mouret, Ignacio E. Grossmann, Pierre Pesti...
ICML
2007
IEEE
16 years 7 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
WWW
2008
ACM
16 years 7 months ago
Algorithm for stochastic multiple-choice knapsack problem and application to keywords bidding
We model budget-constrained keyword bidding in sponsored search auctions as a stochastic multiple-choice knapsack problem (S-MCKP) and design an algorithm to solve S-MCKP and the ...
Yunhong Zhou, Victor Naroditskiy
ICALP
2009
Springer
16 years 7 months ago
The Ehrenfeucht-Silberger Problem
We consider repetitions in words and solve a longstanding open problem about the relation between the period and the length of its longest unbordered factor. A word u is called bor...
Stepan Holub, Dirk Nowotka
CAIP
2009
Springer
246views Image Analysis» more  CAIP 2009»
16 years 1 months ago
Human Age Estimation by Metric Learning for Regression Problems
Abstract. The estimation of human age from face images is an interesting problem in computer vision. We proposed a general distance metric learning scheme for regression problems, ...
Yangjing Long