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» Input Modeling Using Quantile Statistical Methods
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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 7 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
MICCAI
2006
Springer
16 years 4 months ago
Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards
Evaluating registration algorithms is difficult due to the lack of gold standard in most clinical procedures. The bronze standard is a real-data based statistical method providing ...
Tristan Glatard, Xavier Pennec, Johan Montagnat
OSDI
2008
ACM
16 years 3 months ago
Run-time Energy Consumption Estimation Based on Workload in Server Systems
This paper proposes to develop a system-wide energy consumption model for servers by making use of hardware performance counters and experimental measurements. We develop a real-t...
Adam Lewis, Soumik Ghosh, Nian-Feng Tzeng
BMCBI
2010
208views more  BMCBI 2010»
15 years 3 months ago
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models
Background: Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure det...
Kasper Stovgaard, Christian Andreetta, Jesper Ferk...
ACL
2009
15 years 28 days ago
A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers
Most NLP applications work under the assumption that a user input is error-free; thus, word segmentation (WS) for written languages that use word boundary markers (WBMs), such as ...
Han-Cheol Cho, Do-Gil Lee, Jung-Tae Lee, Pontus St...