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» Exceptions for Algorithmic Skeletons
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VISSYM
2003
13 years 10 months ago
A Robust Level-Set Algorithm for Centerline Extraction
We present a robust method for extracting 3D centerlines from volumetric datasets. We start from a 2D skeletonization method to locate voxels centered with respect to three orthog...
Alexandru Telea, Anna Vilanova
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
13 years 6 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
CIB
2004
57views more  CIB 2004»
13 years 8 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
ECOOP
2000
Springer
14 years 1 months ago
Optimizing Java Programs in the Presence of Exceptions
The support for precise exceptions in Java, combined with frequent checks for runtime exceptions, leads to severe limitations on the compiler’s ability to perform program optimiz...
Manish Gupta, Jong-Deok Choi, Michael Hind
KDD
1994
ACM
116views Data Mining» more  KDD 1994»
14 years 29 days ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines