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» When Discrete Meets Differential
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ACL
2006
13 years 6 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
PC
2006
218views Management» more  PC 2006»
13 years 5 months ago
A model based on cellular automata for the parallel simulation of 3D unsaturated flow
Cellular automata (CA) are discrete dynamic systems that have been used for modeling many physical systems. CA are often used as an alternative to model and solve large-scale syst...
Gianluigi Folino, Giuseppe Mendicino, Alfonso Sena...
SIMPRA
2008
106views more  SIMPRA 2008»
13 years 5 months ago
CEST and MEST: Tools for the simulation of radio frequency electric discharges in waveguides
In this paper we present two software tools for the simulation of electron multiplication processes in radio frequency (RF) waveguides. The electric discharges are caused by the m...
Francisco Pérez, Juan de Lara, Luis Conde, ...
IJCV
1998
233views more  IJCV 1998»
13 years 5 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker
SIGPRO
2002
132views more  SIGPRO 2002»
13 years 5 months ago
Coding of 3D virtual objects with NURBS
With the advancement of computer graphics in the recent years, an increasing number of pictures, video and 3D content is generated by synthesis processing rather than acquired wit...
Diego Santa Cruz, Touradj Ebrahimi