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» A new nonlinear similarity measure for multichannel signals
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DAGSTUHL
2007
13 years 9 months ago
Advances in pre-processing and model generation for mass spectrometric data analysis
Abstract. The analysis of complex signals as obtained by mass spectrometric measurements is complicated and needs an appropriate representation of the data. Thereby the kind of pre...
Frank-Michael Schleif
CORR
2010
Springer
93views Education» more  CORR 2010»
13 years 7 months ago
Rank Awareness in Joint Sparse Recovery
In this paper we revisit the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurement...
Mike E. Davies, Yonina C. Eldar
SIBGRAPI
1999
IEEE
13 years 12 months ago
Curvature Operators in Geometric Image Processing
Abstract. In this work we study the problem of reconstructing an image from a perceptual segmentation based on a geometric classification of its points using non-linear curvature f...
Cicero Mota, Jonas Gomes
ICASSP
2010
IEEE
13 years 5 months ago
A supervisory approach to semi-supervised clustering
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
Bryan Conroy, Yongxin Taylor Xi, Peter J. Ramadge
ICASSP
2008
IEEE
14 years 2 months ago
On the synchrony of empirical mode decompositions with application to electroencephalography
A novel approach to measure the interdependence of time series is proposed, based on the alignment (“matching”) of their Huang-Hilbert spectra. The method consists of three st...
Justin Dauwels, Tomasz M. Rutkowski, Franço...