226 search results - page 4 / 46 » How to learn a graph from smooth signals |
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
Assuming that a set of source signals is sparsely representable in a given dictionary, we show how their sparse recovery fails whenever we can only measure a convolved observation...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
This paper proposes a method for separating the signals of individual musical instruments from monaural musical audio. The mixture signal is modeled as a sum of the spectra of ind...
CIBCB
2007
IEEE
14 years 5 months ago
2007
IEEE
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...
ICRA
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...