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JCSS
2008
138views more  JCSS 2008»
14 years 12 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
ACCV
2010
Springer
14 years 7 months ago
Medical Image Segmentation Based on Novel Local Order Energy
Image segmentation plays an important role in many medical imaging systems, yet in complex circumstances it is still a challenging problem. Among many difficulties, problem caused ...
LingFeng Wang, Zeyun Yu, Chunhong Pan
EDBT
2009
ACM
166views Database» more  EDBT 2009»
15 years 4 months ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
15 years 5 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
COCO
2004
Springer
119views Algorithms» more  COCO 2004»
15 years 3 months ago
Tight Lower Bounds for Certain Parameterized NP-Hard Problems
Based on the framework of parameterized complexity theory, we derive tight lower bounds on the computational complexity for a number of well-known NP-hard problems. We start by pr...
Jianer Chen, Benny Chor, Mike Fellows, Xiuzhen Hua...