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AR
2011
15 years 1 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
CVPR
2007
IEEE
16 years 15 days ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
HT
2004
ACM
15 years 11 months ago
Automatic generation of hypertext system repositories: a model driven approach
In this paper, we present a model-driven methodology and toolset for automatic generation of hypertext system repositories. Our code generator, called Bamboo, is based on a Contai...
E. James Whitehead Jr., Guozheng Ge, Kai Pan
ACRI
2008
Springer
16 years 15 days ago
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...
ICWE
2005
Springer
15 years 11 months ago
Towards Model-Driven Testing of a Web Application Generator
Abstract. Conceptual modelling is a promising approach for Web application development, thanks to innovative CASE tools that can transform high-level specifications into executabl...
Luciano Baresi, Piero Fraternali, Massimo Tisi, Sa...