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ICASSP
2011
IEEE
14 years 10 months ago
Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space
Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
ICASSP
2011
IEEE
14 years 10 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
ICASSP
2011
IEEE
14 years 10 months ago
Degenerate Unmixing Estimation Technique using the Constant Q Transform
The Degenerate Unmixing Estimation Technique (DUET) is a Blind Source Separation (BSS) algorithm for stereo audio. DUET depends on an amplitude-phase 2d histogram built from the d...
Zafar Rafii, Bryan Pardo
ICASSP
2011
IEEE
14 years 10 months ago
Social norm and long-run learning in peer-to-peer networks
We start by formulating the resource sharing in peer-to-peer (P2P) networks as a random-matching gift-giving game, where self-interested peers aim at maximizing their own long-ter...
Yu Zhang, Mihaela van der Schaar
ICASSP
2011
IEEE
14 years 10 months ago
Rate distorsion analysis in a disparity compensated scheme
This paper addresses the problem of rate distortion analysis in the context of multi-view image coding, where images are predicted via disparity compensation based on depth map. W...
Valentina Davidoiu, Thomas Maugey, Béatrice...
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