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TKDE
2010
224views more  TKDE 2010»
13 years 6 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
SPIN
2004
Springer
14 years 1 months ago
Directed Error Detection in C++ with the Assembly-Level Model Checker StEAM
Most approaches for model checking software are based on ration of abstract models from source code, which may greatly reduce the search space, but may also introduce errors that a...
Peter Leven, Tilman Mehler, Stefan Edelkamp
KBS
2007
56views more  KBS 2007»
13 years 7 months ago
Domain-dependent distributed models for railway scheduling
Many combinatorial problems can be modelled as Constraint Satisfaction Problems (CSPs). Solving a general CSP is known to be NP-complete, so closure and heuristic search are usual...
Miguel A. Salido, Montserrat Abril, Federico Barbe...
CVPR
2007
IEEE
14 years 9 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
ICSE
1993
IEEE-ACM
13 years 12 months ago
A Comprehensive Process Model for Studying Software Process Papers
E cient and e ective studying of scienti c papers is an important part of software engineering education. Moreover, it contributes to the knowledge necessary to carry out software...
Rudolf K. Keller, Richard Lajoie, Nazim H. Madhavj...