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JMLR
2012
13 years 2 days ago
Transductive Learning of Structural SVMs via Prior Knowledge Constraints
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
Chun-Nam Yu
101
Voted
CVPR
2010
IEEE
15 years 6 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
159
Voted
CP
2009
Springer
15 years 10 months ago
Modelling Equidistant Frequency Permutation Arrays: An Application of Constraints to Mathematics
Equidistant Frequency Permutation Arrays are combinatorial objects of interest in coding theory. A frequency permutation array is a type of constant composition code in which each ...
Sophie Huczynska, Paul McKay, Ian Miguel, Peter Ni...
SARA
2009
Springer
15 years 4 months ago
Modelling Equidistant Frequency Permutation Arrays in Constraints
Equidistant Frequency Permutation Arrays are combinatorial objects of interest in coding theory. A frequency permutation array is a type of constant composition code in which each...
Ian P. Gent, Paul McKay, Ian Miguel, Peter Nightin...
EOR
2007
103views more  EOR 2007»
14 years 9 months ago
Alternative configurations for cutting machines in a tube cutting mill
In a steel tube mill where an endless stream of steel tube is supplied from a manufacturing facility, trim waste is never made regardless of cutting patterns used and the standard...
Iman Hajizadeh, Chi-Guhn Lee