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» Source Separation with Gaussian Process Models
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ICASSP
2010
IEEE
13 years 7 months ago
Partial clustering using a time-varying frequency model for singing voice detection
We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapte...
Lise Regnier, Geoffroy Peeters
ISBI
2008
IEEE
14 years 8 months ago
Multiframe sure-let denoising of timelapse fluorescence microscopy images
Due to the random nature of photon emission and the various internal noise sources of the detectors, real timelapse fluorescence microscopy images are usually modeled as the sum o...
Saskia Delpretti, Florian Luisier, Sathish Ramani,...
JMM2
2007
148views more  JMM2 2007»
13 years 7 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
ICCV
2009
IEEE
13 years 5 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov
ICIP
2005
IEEE
14 years 9 months ago
Asymmetric spread spectrum data-hiding for Laplacian host data
Spread spectrum (SS) or known-host-statistics technique has shown the best performance in terms of both rate of reliable communications and bit error probability at the low waterm...
José-Emilio Vila-Forcén, Oleksiy J. ...