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...
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...
—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....
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...
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...