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» A New Approach for Solving the Maximum Clique Problem
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ALT
2002
Springer
16 years 3 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
CVPR
2010
IEEE
16 years 2 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
IEEEPACT
2009
IEEE
16 years 27 days ago
Chainsaw: Using Binary Matching for Relative Instruction Mix Comparison
With advances in hardware, instruction set architectures are undergoing continual evolution. As a result, compilers are under constant pressure to adapt and take full advantage of...
Tipp Moseley, Dirk Grunwald, Ramesh Peri
GECCO
2009
Springer
163views Optimization» more  GECCO 2009»
16 years 24 days ago
Dealing with inheritance in OO evolutionary testing
Most of the software developed in the world follows the object-oriented (OO) paradigm. However, the existing work on evolutionary testing is mainly targeted to procedural language...
Javier Ferrer, J. Francisco Chicano, Enrique Alba
ASWEC
2008
IEEE
16 years 22 days ago
Modeling Input Validation in UML
Security is an integral part of most software systems but it is not considered as an explicit part in the development process yet. Input validation is the most critical part of so...
Pedram Hayati, Nastaran Jafari, S. Mohammad Rezaei...