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EELC
2006
128views Languages» more  EELC 2006»
13 years 11 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby
ICANN
2005
Springer
14 years 1 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
MVA
1994
145views Computer Vision» more  MVA 1994»
13 years 8 months ago
Machine Vision Based Inspection of Textile Fabrics
Several issues on automatic inspection of textile fabrics are discussed in this paper. To avoid the intense computation for real time inspection, we suggest a parallel pyramid har...
Chuanjun Wang, Chih-Ho Yu
DAC
2008
ACM
14 years 8 months ago
Automatic package and board decoupling capacitor placement using genetic algorithms and M-FDM
In the design of complex power distribution networks (PDN) with multiple power islands, it is required that the PDN represents a low impedance as seen by the digital modules. This...
Krishna Bharath, Ege Engin, Madhavan Swaminathan
APIN
1999
107views more  APIN 1999»
13 years 7 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki