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» On the Complexity of Train Assignment Problems
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UAI
2004
15 years 5 months ago
On Finding Minimal w-cutset
The complexity of a reasoning task over a graphical model is tied to the induced width of the underlying graph. It is well-known that the conditioning (assigning values) on a subs...
Bozhena Bidyuk, Rina Dechter
130
Voted
MLDM
2009
Springer
15 years 10 months ago
Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method
In two-class score-based problems the combination of scores from an ensemble of experts is generally used to obtain distributions for positive and negative patterns that exhibit a ...
Roberto Tronci, Giorgio Giacinto, Fabio Roli
138
Voted
ICPR
2006
IEEE
16 years 4 months ago
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently. However, the training process of KFDA is too time consuming (even intractabl...
Baochang Zhang, Shiguang Shan, Wen Gao, Xilin Chen...
EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
15 years 9 months ago
Tuning of Algorithms for Independent Task Placement in the Context of Demand-Driven Parallel Ray Tracing
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Tomas Plachetka
PAMI
2008
139views more  PAMI 2008»
15 years 3 months ago
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishna...