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» A general algorithm for data dependence analysis
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155
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KBSE
2005
IEEE
15 years 9 months ago
Optimized run-time race detection and atomicity checking using partial discovered types
Concurrent programs are notorious for containing errors that are difficult to reproduce and diagnose. Two common kinds of concurrency errors are data races and atomicity violation...
Rahul Agarwal, Amit Sasturkar, Liqiang Wang, Scott...
CIKM
2009
Springer
15 years 10 months ago
Maximal metric margin partitioning for similarity search indexes
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
Hisashi Kurasawa, Daiji Fukagawa, Atsuhiro Takasu,...
118
Voted
ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
15 years 10 months ago
Discovering Temporal Communities from Social Network Documents
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
SIGGRAPH
1999
ACM
15 years 8 months ago
Creating Generative Models from Range Images
We describe a new approach for creating concise high-level generative models from range images or other approximate representations of real objects. Using data from a variety of a...
Ravi Ramamoorthi, James Arvo
103
Voted
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
16 years 4 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...