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» Some Properties and Some Problems on Set Functors
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CCE
2004
15 years 4 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
TIP
2002
131views more  TIP 2002»
15 years 4 months ago
Optimal edge-based shape detection
Abstract--We propose an approach to accurately detecting twodimensional (2-D) shapes. The cross section of the shape boundary is modeled as a step function. We first derive a one-d...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ML
2008
ACM
110views Machine Learning» more  ML 2008»
15 years 3 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
RV
2010
Springer
177views Hardware» more  RV 2010»
15 years 2 months ago
Runtime Instrumentation for Precise Flow-Sensitive Type Analysis
We describe a combination of runtime information and static analysis for checking properties of complex and configurable systems. The basic idea of our approach is to 1) let the p...
Etienne Kneuss, Philippe Suter, Viktor Kuncak
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
14 years 11 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie