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» Benchmark Generation Using Domain Specific Modeling
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IJCNN
2006
IEEE
15 years 8 months ago
Training Reformulated Product Units in Hybrid Neural Networks
— Higher order networks allow modelling of correlates and geometrically invariant properties. Current techniques for their development either require domain knowledge, or are con...
Philip T. Elliott, Diven Topiwala, Will N. Browne
ANLP
2000
97views more  ANLP 2000»
15 years 3 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
129
Voted
MM
2006
ACM
175views Multimedia» more  MM 2006»
15 years 8 months ago
Real-time automatic 3D scene generation from natural language voice and text descriptions
Automatic scene generation using voice and text offers a unique multimedia approach to classic storytelling and human computer interaction with 3D graphics. In this paper, we pre...
Lee M. Seversky, Lijun Yin
120
Voted
IJPRAI
2010
105views more  IJPRAI 2010»
14 years 11 months ago
An Ontology-Based Model for Representing Image Processing Application Objectives
This paper investigates what kinds of information are necessary and sufficient to design and evaluate image processing software programs and proposes a representation of these inf...
Régis Clouard, Arnaud Renouf, Marinette Rev...
VAMOS
2009
Springer
15 years 8 months ago
Some Challenges of Feature-based Merging of Class Diagrams
In software product line engineering, feature models enable to automate the generation of productspecific models in conjunction with domain “base models” (e.g. UML models). T...
Germain Saval, Jorge Pinna Puissant, Patrick Heyma...