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AR
2011
13 years 4 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...
ACSC
2003
IEEE
14 years 2 months ago
Using Natural Language Generation for Navigational Assistance
In this paper we tackle the problem of generating natural route descriptions on the basis of input obtained from a commercially available way-finding system. Our framework and ar...
Robert Dale, Sabine Geldof, Jean-Philippe Prost
EACL
2010
ACL Anthology
13 years 10 months ago
Probabilistic Approaches for Modeling Text Structure and Their Application to Text-to-Text Generation
Abstract. Since the early days of generation research, it has been acknowledged that modeling the global structure of a document is crucial for producing coherent, readable output....
Regina Barzilay
LCTRTS
2005
Springer
14 years 2 months ago
Composable code generation for distributed giotto
Abstract. We present a compositional approach to the implementation of hard real-time software running on a distributed platform. We explain how several code suppliers, coordinated...
Thomas A. Henzinger, Christoph M. Kirsch, Slobodan...
GECCO
2003
Springer
14 years 2 months ago
Generative Representations for Evolving Families of Designs
Abstract. Since typical evolutionary design systems encode only a single artifact with each individual, each time the objective changes a new set of individuals must be evolved. Wh...
Gregory Hornby