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ICCV
2005
IEEE
16 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
CADE
2002
Springer
16 years 7 months ago
Lazy Theorem Proving for Bounded Model Checking over Infinite Domains
Abstract. We investigate the combination of propositional SAT checkers with domain-specific theorem provers as a foundation for bounded model checking over infinite domains. Given ...
Harald Rueß, Leonardo Mendonça de Mou...
ICDAR
2009
IEEE
16 years 2 months ago
Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation
This paper proposes a recognition based approach to handwritten numeral string segmentation. We consider two classes: numeral strings segmented correctly or not. The feature vecto...
Yanjie Wang, Xiabi Liu, Yunde Jia
ICIW
2009
IEEE
16 years 2 months ago
A Model-Driven Approach for Monitoring Business Performance in Web Service Compositions
— Supporting business services through Web service compositions (WSC) as part of service-oriented architectures (SOA) involves business performance monitoring requirements. Their...
Christof Momm, Michael Gebhart, Sebastian Abeck
ECMDAFA
2009
Springer
170views Hardware» more  ECMDAFA 2009»
16 years 2 months ago
A Model Driven Approach to the Analysis of Timeliness Properties
The need for a design language that is rigorous but accessible and intuitive is often at odds with the formal and mathematical nature of languages used for analysis. UML and Petri ...
Mohamed Ariff Ameedeen, Behzad Bordbar, Rachid Ana...