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KDD
2004
ACM
132views Data Mining» more  KDD 2004»
16 years 5 months ago
A probabilistic framework for semi-supervised clustering
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Sugato Basu, Mikhail Bilenko, Raymond J. Mooney
ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
16 years 1 months ago
An accurate sparse matrix based framework for statistical static timing analysis
Statistical Static Timing Analysis has received wide attention recently and emerged as a viable technique for manufacturability analysis. To be useful, however, it is important th...
Anand Ramalingam, Gi-Joon Nam, Ashish Kumar Singh,...
CVPR
2010
IEEE
15 years 4 months ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak
IEE
2010
136views more  IEE 2010»
15 years 3 months ago
Assume-guarantee verification of software components in SOFA 2 framework
A key problem in compositional model checking of software systems is that typical model checkers accept only closed systems (runnable programs) and therefore a component cannot be ...
Pavel Parizek, Frantisek Plasil
WSC
2000
15 years 6 months ago
Enterprise Simulation: framework for a strategic application
The term Enterprise Simulation (ES) is gaining acceptance among simulation practitioners. It is coming to represent certain tangible attributes, and its benefits seem apparent in ...
Milind M. Datar