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» Learning to Construct Fast Signal Processing Implementations
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ICASSP
2009
IEEE
15 years 6 months ago
Compressive spectral estimation for nonstationary random processes
We propose a “compressive” estimator of the Wigner-Ville spectrum (WVS) for time-frequency sparse, underspread, nonstationary random processes. A novel WVS estimator involving...
Alexander Jung, Georg Tauböck, Franz Hlawatsc...
ICASSP
2010
IEEE
14 years 11 months ago
Fast semi-supervised image segmentation by novelty selection
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
António R. C. Paiva, Tolga Tasdizen
EDBT
2009
ACM
277views Database» more  EDBT 2009»
15 years 4 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
ICASSP
2008
IEEE
15 years 6 months ago
Bayesian extensions to non-negative matrix factorisation for audio signal modelling
We describe the underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) and propose a realistic conjugate priors on the matrices to be estimate...
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsi...
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ICASSP
2011
IEEE
14 years 3 months ago
On spatio-temporal Tomlinson Harashima Precoding in IIR channels: MMSE solution, properties, and fast computation
We consider spatio-temporal Tomlinson Harashima Precoding where the feedforward filter is located at the transmitter and an additional scalar gain is employed as receive filter....
Sander Wahls, Holger Boche