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ICASSP
2010
IEEE
15 years 6 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
SENSYS
2004
ACM
16 years 3 days ago
An analysis of a large scale habitat monitoring application
Habitat and environmental monitoring is a driving application for wireless sensor networks. We present an analysis of data from a second generation sensor networks deployed during...
Robert Szewczyk, Alan M. Mainwaring, Joseph Polast...
TIT
1998
139views more  TIT 1998»
15 years 6 months ago
Codes for Digital Recorders
—Constrained codes are a key component in the digital recording devices that have become ubiquitous in computer data storage and electronic entertainment applications. This paper...
Kees A. Schouhamer Immink, Paul H. Siegel, Jack K....
ICML
2009
IEEE
16 years 7 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
HIPEAC
2009
Springer
16 years 1 months ago
Predictive Runtime Code Scheduling for Heterogeneous Architectures
Heterogeneous architectures are currently widespread. With the advent of easy-to-program general purpose GPUs, virtually every recent desktop computer is a heterogeneous system. Co...
Víctor J. Jiménez, Lluís Vila...