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DMIN
2010
262views Data Mining» more  DMIN 2010»
15 years 4 months ago
SMO-Style Algorithms for Learning Using Privileged Information
Recently Vapnik et al. [11, 12, 13] introduced a new learning model, called Learning Using Privileged Information (LUPI). In this model, along with standard training data, the tea...
Dmitry Pechyony, Rauf Izmailov, Akshay Vashist, Vl...
CVPR
2012
IEEE
14 years 18 days ago
Branch-and-price global optimization for multi-view multi-object tracking
We present a new algorithm to jointly track multiple objects in multi-view images. While this has been typically addressed separately in the past, we tackle the problem as a single...
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
ANOR
2002
100views more  ANOR 2002»
15 years 6 months ago
A Limited-Memory Multipoint Symmetric Secant Method for Bound Constrained Optimization
A new algorithm for solving smooth large-scale minimization problems with bound constraints is introduced. The way of dealing with active constraints is similar to the one used in...
Oleg P. Burdakov, José Mario Martíne...
WSC
2007
15 years 9 months ago
Parallel cross-entropy optimization
The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese
MP
2006
123views more  MP 2006»
15 years 6 months ago
New interval methods for constrained global optimization
Abstract. Interval analysis is a powerful tool which allows to design branch-and-bound algorithms able to solve many global optimization problems. In this paper we present new adap...
Mihály Csaba Markót, J. Ferná...