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» Using feature models to automate model transformations
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MLMI
2004
Springer
15 years 10 months ago
Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and ...
Andrei Popescu-Belis, Alexander Clark, Maria Georg...
LPNMR
2001
Springer
15 years 9 months ago
Bounded LTL Model Checking with Stable Models
In this paper bounded model checking of asynchronous concurrent systems is introduced as a promising application area for answer set programming. As the model of asynchronous syst...
Keijo Heljanko, Ilkka Niemelä
CVPR
2010
IEEE
16 years 1 months ago
On improving point-based 3D recognition
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...
Edward Hsiao, Alvaro Collet, Martial Hebert
SMA
2003
ACM
138views Solid Modeling» more  SMA 2003»
15 years 10 months ago
Associativity between feature models across domains
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
S. Subramani, Balan Gurumoorthy
ESANN
2004
15 years 6 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot