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SDL
2007
171views Hardware» more  SDL 2007»
13 years 10 months ago
Model Driven Development and Code Generation: An Automotive Case Study
Describing an application as a simple composition of services allows advanced features that exploit different platforms to be conceived e formalized at a high abstraction level. S...
Michele Banci, Alessandro Fantechi, Stefania Gnesi...
AMR
2006
Springer
96views Multimedia» more  AMR 2006»
14 years 18 days ago
Learning to Retrieve Images from Text Queries with a Discriminative Model
This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval pe...
David Grangier, Florent Monay, Samy Bengio
NIPS
1997
13 years 10 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
EOR
2006
91views more  EOR 2006»
13 years 8 months ago
Solving Irregular Strip Packing problems by hybridising simulated annealing and linear programming
In this paper a hybrid algorithm to solve Irregular Strip Packing problems is presented. The metaheuristic simulated annealing is used to guide the search over the solution space ...
A. Miguel Gomes, José F. Oliveira
ENTCS
2007
86views more  ENTCS 2007»
13 years 8 months ago
Sequentiality and the CPS Semantics of Fresh Names
We investigate the domain-theoretic denotational semantics of a CPS with fresh name declaration. This is the target of a fully abstract CPS translation from the nu-calculus with ï...
James Laird