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CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 8 months ago
On Quadratic Programming with a Ratio Objective
Quadratic Programming (QP) is the well-studied problem of maximizing over {−1, 1} values the quadratic form i=j aijxixj. QP captures many known combinatorial optimization proble...
Aditya Bhaskara, Moses Charikar, Rajsekar Manokara...
CEC
2007
IEEE
15 years 7 months ago
Multi-objective differential evolution (MODE) for optimization of supply chain planning and management
— Many problems in the engineering domain involve more than one objective to be optimized simultaneously. The optimal solution to a multi-objective function results in a set of e...
B. V. Babu, Ashish M. Gujarathi
ICPR
2002
IEEE
16 years 2 months ago
A Ball Detection Algorithm for Real Soccer Image Sequences
A large number of methods for circle detection has been studied in the last years for numerous image processing applications. The application domain considered in this paper is th...
Tiziana D'Orazio, Nicola Ancona, Grazia Cicirelli,...
JMLR
2008
123views more  JMLR 2008»
15 years 1 months ago
Optimization Techniques for Semi-Supervised Support Vector Machines
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keer...
ICALP
2009
Springer
16 years 1 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty