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HASE
2007
IEEE
15 years 10 months ago
Multiple Pre/Post Specifications for Heap-Manipulating Methods
Automated verification plays an important role for high assurance software. This typically uses a pair of pre/post conditions as a formal (but possibly partial) specification of e...
Wei-Ngan Chin, Cristina David, Huu Hai Nguyen, She...
AAAI
2008
15 years 9 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
193
Voted
KES
2006
Springer
15 years 6 months ago
Evolutionary Tuning of Combined Multiple Models
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...
Gregor Stiglic, Peter Kokol
CORR
2010
Springer
148views Education» more  CORR 2010»
15 years 1 months ago
A Unifying View of Multiple Kernel Learning
Recent research on multiple kernel learning has lead to a number of approaches for combining kernels in regularized risk minimization. The proposed approaches include different for...
Marius Kloft, Ulrich Rückert, Peter L. Bartle...
ICIP
2005
IEEE
16 years 8 months ago
Multiple active contour models based on the EM algorithm
This paper describes an algorithm for the extraction of multiple regions using multiple active contour models (ACMs). The algorithm organizes edge points into strokes and assigns ...
Margarida Silveira, Jorge S. Marques