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SDM
2004
SIAM
189views Data Mining» more  SDM 2004»
15 years 8 months ago
An Abstract Weighting Framework for Clustering Algorithms
act Weighting Framework for Clustering Algorithms Richard Nock Frank Nielsen Recent works in unsupervised learning have emphasized the need to understand a new trend in algorithmi...
Richard Nock, Frank Nielsen
CORR
2008
Springer
76views Education» more  CORR 2008»
15 years 6 months ago
An Efficient Algorithm for a Sharp Approximation of Universally Quantified Inequalities
This paper introduces a new algorithm for solving a subclass of quantified constraint satisfaction problems (QCSP) where existential quantifiers precede universally quantified ine...
Alexandre Goldsztejn, Claude Michel, Michel Rueher
CEE
2005
92views more  CEE 2005»
15 years 6 months ago
An adaptive call admission algorithm for cellular networks
In this paper, we first propose a new continuous action-set learning automaton and theoretically study its convergence properties and show that it converges to the optimal action....
Hamid Beigy, Mohammad Reza Meybodi
216
Voted
CVPR
2011
IEEE
14 years 10 months ago
TaylorBoost: First and Second-order Boosting Algorithms with Explicit Margin Control
A new family of boosting algorithms, denoted TaylorBoost, is proposed. It supports any combination of loss function and first or second order optimization, and includes classical...
Mohammad Saberian, Hamed Masnadi-Shirazi, Nuno Vas...
ATS
2009
IEEE
185views Hardware» more  ATS 2009»
16 years 1 months ago
Customized Algorithms for High Performance Memory Test in Advanced Technology Node
Embedded memory quality is critical to overall chip quality. New defect mechanisms that occur at advanced process nodes (65nm and below) are often more pronounced in memories due ...
Shomo Chen, Ning Huang, Ting-Pu Tai, Actel Niu