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ICCV
2005
IEEE
14 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
ICDAR
2005
IEEE
14 years 1 months ago
The Recognition Strategy Language
The table recognition literature contains many strategies specified informally as a sequence of operations, obscuring both models of table structure and the effects of individual...
Richard Zanibbi, Dorothea Blostein, James R. Cordy
ICSE
2007
IEEE-ACM
14 years 7 months ago
Compatibility and Regression Testing of COTS-Component-Based Software
Software engineers frequently update COTS components integrated in component-based systems, and can often chose among many candidates produced by different vendors. This paper tac...
Leonardo Mariani, Mauro Pezzè, Sofia Papagi...
BIRTHDAY
2006
Springer
13 years 11 months ago
A Stochastic Theory of Black-Box Software Testing
Abstract. We introduce a mathematical framework for black-box software testing of functional correctness, based on concepts from stochastic process theory. This framework supports ...
Karl Meinke
DSL
2009
13 years 5 months ago
Operator Language: A Program Generation Framework for Fast Kernels
Abstract. We present the Operator Language (OL), a framework to automatically generate fast numerical kernels. OL provides the structure to extend the program generation system Spi...
Franz Franchetti, Frédéric de Mesmay...