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ICFP
2007
ACM
14 years 7 months ago
Relating complexity and precision in control flow analysis
We analyze the computational complexity of kCFA, a hierarchy of control flow analyses that determine which functions may be applied at a given call-site. This hierarchy specifies ...
David Van Horn, Harry G. Mairson
CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 6 months ago
Robust PCA via Outlier Pursuit
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
Huan Xu, Constantine Caramanis, Sujay Sanghavi
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
14 years 8 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
APPROX
2011
Springer
197views Algorithms» more  APPROX 2011»
12 years 7 months ago
Periodicity and Cyclic Shifts via Linear Sketches
We consider the problem of identifying periodic trends in data streams. We say a signal a ∈ Rn is p-periodic if ai = ai+p for all i ∈ [n − p]. Recently, Erg¨un et al. [4] pr...
Michael S. Crouch, Andrew McGregor
AIPS
2009
13 years 9 months ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden