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ACL
2006
15 years 8 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
ECCV
1998
Springer
16 years 8 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
PROFES
2005
Springer
16 years 2 days ago
A Rendezvous of Content Adaptable Service and Product Line Modeling
Content adaptable applications are often used in ubiquitous computing environment, and it aims to service the adaptable contents to users. In this environment, the services are dyn...
Seo Jeong Lee, Soo Dong Kim
FORTE
2004
15 years 8 months ago
Model-Checking Plus Testing: From Software Architecture Analysis to Code Testing
Software Model-Checking and Testing are some of the most used techniques to analyze software systems and identify hidden faults. While software model-checking allows for an exhaust...
Antonio Bucchiarone, Henry Muccini, Patrizio Pelli...
NIPS
2004
15 years 8 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper