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KDD
2010
ACM
175views Data Mining» more  KDD 2010»
15 years 10 months ago
Learning with cost intervals
Existing cost-sensitive learning methods work with unequal misclassification cost that is given by domain knowledge and appears as precise values. In many real-world applications,...
Xu-Ying Liu, Zhi-Hua Zhou
CVPR
2006
IEEE
16 years 8 months ago
Stereo Matching with Symmetric Cost Functions
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Kuk-Jin Yoon, In-So Kweon
CCE
2011
15 years 1 months ago
Optimization-based design of reactive distillation columns using a memetic algorithm
This contribution deals with the optimization of the design of reactive distillation columns by using a memetic algorithm (MA) which is a combination of an evolution strategy (ES)...
Maren Urselmann, S. Barkmann, Guido Sand, Sebastia...
ISPD
2009
ACM
141views Hardware» more  ISPD 2009»
16 years 1 months ago
A faster approximation scheme for timing driven minimum cost layer assignment
As VLSI technology moves to the 65nm node and beyond, interconnect delay greatly limits the circuit performance. As a critical component in interconnect synthesis, layer assignmen...
Shiyan Hu, Zhuo Li, Charles J. Alpert
CIKM
2005
Springer
16 years 14 hour ago
Optimizing candidate check costs for bitmap indices
In this paper, we propose a new strategy for optimizing the placement of bin boundaries to minimize the cost of query evaluation using bitmap indices with binning. For attributes ...
Doron Rotem, Kurt Stockinger, Kesheng Wu