Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
We introduce tensor displays: a family of compressive light field displays comprising all architectures employing a stack of timemultiplexed, light-attenuating layers illuminated...
Gordon Wetzstein, Douglas Lanman, Matthew Hirsch, ...
This paper proposes a versatile perceptual audio coding method that achieves high compression ratios and is capable of low encoding/decoding delay. It accommodates a variety of sou...
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...