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ICCV
2009
IEEE
15 years 27 days ago
Efficient Discriminative Learning of Parts-based Models
Supervised learning of a parts-based model can be for- mulated as an optimization problem with a large (exponen- tial in the number of parts) set of constraints. We show how thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
PREMI
2005
Springer
14 years 1 months ago
Systematically Evolving Configuration Parameters for Computational Intelligence Methods
The configuration of a computational intelligence (CI) method is responsible for its intelligence (e.g. tolerance, flexibility) as well as its accuracy. In this paper, we investiga...
Jason M. Proctor, Rosina Weber
PLDI
2010
ACM
14 years 5 months ago
Breadcrumbs: Efficient Context Sensitivity for Dynamic Bug Detection Analyses
Calling context--the set of active methods on the stack--is critical for understanding the dynamic behavior of large programs. Dynamic program analysis tools, however, are almost ...
Michael D. Bond, Graham Z. Baker, Samuel Z. Guyer
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
14 years 1 months ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
ICES
2000
Springer
140views Hardware» more  ICES 2000»
13 years 11 months ago
Evolving Cellular Automata for Self-Testing Hardware
Testing is a key issue in the design and production of digital circuits: the adoption of BIST (Built-In Self-Test) techniques is increasingly popular, but requires efficient algori...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...