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» A general algorithm for data dependence analysis
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CVPR
2003
IEEE
15 years 12 months ago
Generalized Principal Component Analysis (GPCA)
This paper presents an algebro-geometric solution to the problem of segmenting an unknown number of subspaces of unknown and varying dimensions from sample data points. We represen...
René Vidal, Shankar Sastry, Yi Ma
KDD
2010
ACM
279views Data Mining» more  KDD 2010»
15 years 1 months ago
Unifying dependent clustering and disparate clustering for non-homogeneous data
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
M. Shahriar Hossain, Satish Tadepalli, Layne T. Wa...
CORR
2010
Springer
139views Education» more  CORR 2010»
14 years 5 months ago
Data Cleaning and Query Answering with Matching Dependencies and Matching Functions
Matching dependencies were recently introduced as declarative rules for data cleaning and entity resolution. Enforcing a matching dependency on a database instance identifies the ...
Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. La...
IJON
2008
114views more  IJON 2008»
14 years 10 months ago
A robust model for spatiotemporal dependencies
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. Here, we propose an algorithm including such ...
Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar...
ISSTA
1998
ACM
15 years 2 months ago
Computation of Interprocedural Control Dependence
Program dependence information is useful for a variety of software testing and maintenance tasks. Properly defined, control and data dependencies can be used to identify semantic...
Mary Jean Harrold, Gregg Rothermel, Saurabh Sinha