We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
Abstract-- This paper addresses the problem of matting motion blurred objects from a single image. Existing single-image matting methods are designed to extract static objects that...
For low-delay streaming of pre-encoded video over lossy networks, fast recovery from decoding errors typically involves use of frequent intra-coded frames, which incurs high bandw...
In a series of papers over a period of several years Barry Smith and Werner Ceusters have offered a number of cogent criticisms of historical approaches to creating, maintaining, a...
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...