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CVPR
2001
IEEE
16 years 3 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
QEST
2009
IEEE
15 years 8 months ago
On the Impact of Modelling Choices for Distributed Information Spread
—We consider a distributed shuffling algorithm for sharing data in a distributed network. Nodes executing the algorithm periodically contact each other and exchange data. The be...
Rena Bakhshi, Ansgar Fehnker
ICDCSW
2011
IEEE
14 years 1 months ago
Cross-Examination of Datacenter Workload Modeling Techniques
Datacenter workload modeling has become a necessity in recent years due to the emergence of large-scale applications and cloud data-stores, whose implementation remains largely un...
Christina Delimitrou, Christos Kozyrakis
127
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SDM
2009
SIAM
204views Data Mining» more  SDM 2009»
15 years 11 months ago
Application of Bayesian Partition Models in Warranty Data Analysis.
Automotive companies are forced to continuously extend and improve their product line-up. However, increasing diversity, higher design complexity, and shorter development cycles c...
Axel Blumenstock, Christoph Schlieder, Markus M&uu...
SCESM
2006
ACM
266views Algorithms» more  SCESM 2006»
15 years 7 months ago
A comparative survey of scenario-based to state-based model synthesis approaches
Model Driven Development and Use Case Driven Development methodologies have inspired the proposal of a variety of software engineering approaches that synthesize statebased models...
Hongzhi Liang, Jürgen Dingel, Zinovy Diskin