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» Signal Processing in Large Systems: a New Paradigm
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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...
SAC
2009
ACM
16 years 1 months ago
GTfold: a scalable multicore code for RNA secondary structure prediction
The prediction of the correct secondary structures of large RNAs is one of the unsolved challenges of computational molecular biology. Among the major obstacles is the fact that a...
Amrita Mathuriya, David A. Bader, Christine E. Hei...
MOBIHOC
2005
ACM
16 years 6 months ago
A distributed coordination framework for wireless sensor and actor networks
Wireless Sensor and Actor Networks (WSANs) are composed of a large number of heterogeneous nodes called sensors and actors. The collaborative operation of sensors enables the dist...
Tommaso Melodia, Dario Pompili, Vehbi C. Gungor, I...
COLING
2002
15 years 6 months ago
The LinGO Redwoods Treebank: Motivation and Preliminary Applications
The LinGO Redwoods initiative is a seed activity in the design and development of a new type of treebank. While several medium- to large-scale treebanks exist for English (and for...
Stephan Oepen, Kristina Toutanova, Stuart M. Shieb...
SENSYS
2006
ACM
16 years 13 days ago
Capturing high-frequency phenomena using a bandwidth-limited sensor network
Small-form-factor, low-power wireless sensors—motes—are convenient to deploy, but lack the bandwidth to capture and transmit raw high-frequency data, such as human voices or n...
Ben Greenstein, Christopher Mar, Alex Pesterev, Sh...