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ICA
2010
Springer
15 years 7 months ago
Binary Sparse Coding
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Marc Henniges, Gervasio Puertas, Jörg Bornsch...
GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
15 years 7 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
ISLPED
2010
ACM
202views Hardware» more  ISLPED 2010»
15 years 6 months ago
MODEST: a model for energy estimation under spatio-temporal variability
Estimation of static and dynamic energy of caches is critical for high-performance low-power designs. Commercial CAD tools performing energy estimation statically are not aware of...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...
SIGMOD
2010
ACM
221views Database» more  SIGMOD 2010»
15 years 6 months ago
Analyzing the energy efficiency of a database server
Rising energy costs in large data centers are driving an agenda for energy-efficient computing. In this paper, we focus on the role of database software in affecting, and, ultimat...
Dimitris Tsirogiannis, Stavros Harizopoulos, Mehul...
BMCBI
2010
156views more  BMCBI 2010»
15 years 6 months ago
Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions
Background: High-throughput methods for detecting protein-protein interactions enable us to obtain large interaction networks, and also allow us to computationally identify the as...
Yosuke Ozawa, Rintaro Saito, Shigeo Fujimori, Hisa...