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» Quantization of Sparse Representations

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CVPR
2008
IEEE

251views Computer Vision» more CVPR 2008»

Transfer learning for image classification with sparse prototype representations

14 years 9 months ago

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To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...

Ariadna Quattoni, Michael Collins, Trevor Darrell

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ICIP
2007
IEEE

216views Image Processing» more ICIP 2007»

Blind Audiovisual Source Separation using Sparse Representations

14 years 9 months ago

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In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherenc...

Anna Llagostera Casanovas, Gianluca Monaci, Pierre...

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ICASSP
2011
IEEE

224views Signal Processing» more ICASSP 2011»

Dictionary learning of convolved signals

12 years 11 months ago

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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...

Daniele Barchiesi, Mark D. Plumbley

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ICS
2009
Tsinghua U.

107views Distributed And Parallel Com...» more ICS 2009»

Pattern-based sparse matrix representation for memory-efficient SMVM kernels

14 years 2 months ago

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Mehmet Belgin, Godmar Back, Calvin J. Ribbens

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