Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for rec...
Michael B. Wakin, Jason N. Laska, Marco F. Duarte,...
We present an improved, prescient, scheme to deliver pre-encoded video streams at very low latency. We dynamically manage the prediction dependency for a group of packets using a ...
The method of Moving Least Squares (MLS) is a popular framework for reconstructing continuous functions from scattered data due to its rich mathematical properties and well-underst...
Christian Ledergerber, Gaël Guennebaud, Miriah ...
We present a system for simulating and visualizing the propagation of dispersive contaminants with an application to urban security. In particular, we simulate airborne contaminan...
Arie E. Kaufman, Feng Qiu, Haik Lorenz, Jianning W...
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text l...
Faisal Shafait, Joost van Beusekom, Daniel Keysers...