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LPNMR
2011
Springer
14 years 8 months ago
Integrating Rules and Ontologies in the First-Order Stable Model Semantics (Preliminary Report)
We present an approach to integrating rules and ontologies on the basis of the first-order stable model semantics defined by Ferraris, Lee and Lifschitz. We show that a few exist...
Joohyung Lee, Ravi Palla
180
Voted
MVA
2002
261views Computer Vision» more  MVA 2002»
15 years 4 months ago
Detecting Faces in Color Images Using an Adaptive Color Model and Salient Features
Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method ...
Hang-Bong Kang
142
Voted
EMNLP
2008
15 years 6 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
137
Voted
IVC
2007
95views more  IVC 2007»
15 years 5 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
131
Voted
ICSR
2004
Springer
15 years 10 months ago
XML-Based Feature Modelling
This paper describes a feature modelling technique aimed at modelling the software assets behind a product family. The proposed technique is distinctive in five respects. First, it...
Vaclav Cechticky, Alessandro Pasetti, O. Rohlik, W...