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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
OPODIS
2004
13 years 9 months ago
Embedded Systems - Challenges and Work Directions
Embedded Systems are components integrating software and hardware jointly and specifically designed to provide given functionalities. These components may be used in many different...
Joseph Sifakis
WSCG
2003
327views more  WSCG 2003»
13 years 9 months ago
Image Recoloring Induced by Palette Color Associations
In this paper we present a non-interactive method for recoloring a destination image according to the color scheme found in a source image. The approach is motivated by trying to ...
G. R. Greenfield, D. H. House
CASCON
1996
148views Education» more  CASCON 1996»
13 years 9 months ago
Reuse in the application layer
Today's advanced CASE tools, combining the building-block and generative approaches to software reuse, are effective for reuse of software components and procedures in the pr...
Hirotomo Okuno, Hideki Matsumoto, Hironori Asai, M...
ISMB
1996
13 years 9 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli
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